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| ovremeni_osebe |
", . ?* , ? ?* , , ?* ?* , ? , ! "" "" + .+ , , .+ 5 - """".+ .+ .+ , , .+ , , !------------------------------------------------ ? ! .*,*,* * ( )* -* 1000 - + ,+ , - ,+ , , ! . ., , , , . , . , . . - : , , . , . . !, !"
Price: 104.99
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| "Basic Fire Fighting" |
"COURSE OBJECTIVES:To describe the Classifications of fireTo outline Principles of Heat Transmission And Fire SpreadTo outline the Common causes and consequences of fireTo explain the various fire prevention methodsTo Identify, Select & Operate of various types of extinguishersTo understand fire emergency evacuation.COURSE CONTENTS:SECTION 1- INTRODUCTIONa)Introductionb)Principles of Firec)Source of ignition/Heatd)Static Electricitye)Source of Fuele)Classification Of Firef)Principles Of Heat Transmissiong)Causes and Consequences of Fires in WorkplacesSECTION 2- FIRE PREVENTION AND PREVENTION OF FIRE SPREADa)Control Measures to Minimise the Risk of Fire in a Workplace b)Storage of Flammable Liquids in Workrooms and Other Locationsc)LPG Fire Presentation Arrangementsd)Precautions for Control Of Hot Worke)Electrical Equipment Safetyf)Cooking Oils And FatsSECTION 3- FIRE ALARM SYSTEMS AND FIRE-FIGHTING ARRANGEMENTSa)Fire Detectionb)Heat Detectorsc)Smoke Detectorsd)Flame Detectorse)Fire Fighting Equipmentsf)Fire Extinguisherg)How To Use Fire ExtinguisherSECTION 4 - EVACUATION OF A WORKPLACEa)Means of Escape b)Assembly Pointc)Fire Marshalsd)Fire Drille)Rules for fighting fire f)What should you do if your clothes catch on fire?g)Burns first aid"
Price: 39.99
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| "MasterLSAT: How To Get A 180 On An Actual LSAT (PrepTest 71)" |
"In this course, we'll break down every single question (and answer choice!) on an entire official LSAT (PrepTest 71, from December 2013).Many students see score increases of 5-10 or more points after mastering just one test with me in this way.First, you'll get a chance to work through it yourself. Then, you'll use the MasterLSAT interactive video method to clarify whatever questions you had trouble with.There are video explanations for every single answer choice - even the wrong ones! It's like having a personal tutor (who has scored 180) to ask ""Hey, why was (B) wrong on question 15?"" or ""How should I have read question 23 in order to predict the answer?""After thoroughly working through the videos in this course, you'll be at the point that if you took this test again, you'd get a perfect 180. You'll have honed your weaknesses and developed some amazing strategies to be able to apply to future LSATs!Additionally, you'll get a lot of great tips and tricks along the way from someone who has thoroughly mastered the test.Most LSAT methods are overcomplicated. The MasterLSAT method is simple, intuitive, and cookie-cutter - just thoroughly master one practice test, and then move onto the next one. Hundreds have used this method to improve greatly - you won't be disappointed either :)You'll also have the ability to ask me any questions you may have as you progress through the course.Can't wait to see you inside!"
Price: 49.99
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| "Remunerao Estratgica" |
"O curso Remunerao Estratgica: Quebrando paradigmas, tem como objetivo abordar as formas de remunerao existentes, mas trazendo tona a necessidade da mudana do sistema tradicional pelo sistema estratgico.Alm de abordar os vrios tipos de remunerao o curso traz a importncia e os benefcios de se adotar uma remunerao estratgica, assim como tambm abordar a necessidade de quebra de paradigmas quanto a remunerao."
Price: 54.99
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| "SIFIRDAN LER SEVYEYE MBLOCK 5 LE ARDUNO ETM" |
"Arduino kolayca kod yazarak elektronik prototipleme yapmanz salayan ak kaynakl bir devre kartdr. Bu video eitim serimiz, arduino ve robotik kodlama hakknda hibir bilgisi olmasa bile, bilgi edinmek ve robotik kodlamay renmek isteyen byk kk her ya grubu iin uygundur. Bu kursta yeni Mblok 5 yazlmn kullanarak blok tabanl uygulamalar gelitirmeyi, Arduino kart yapsn, dijital ve analog pinlerin alma prensiplerini, Arduino kartn kullanmn reneceksiniz. Arduino projelerinde kullanlan temel elektronik devre elemanlarn bu elemanlarn bir projede nasl kullanlacan kavrayacaksnz. Bu kurs iin herhangi bir yazlm dilini bilmenize ya da elektronik temelinizin olmasna gerek yoktur. Derslerin ak sizleri tm bu bilgileri vermek zerine tasarlanmtr. Eitim, en temel dzeyden balayarak kendi projelerinizi gelitirebileceiniz ileri dzeye kadar tayacak bir ierie sahiptir. Eitimin sonunda hayalinizdeki robotu veya elektronik sistemi gelitirebilir seviyede olduunuza inanamayacaksnz. Arduino, robotik kodlama ve Mblock 5 hakknda aklnza taklan her trl konuda eitmeniniz olarak yardmc olmaya hazrm."
Price: 49.99
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| "Upgrading Computer Networks from Windows 7 to Windows 10" |
"Over this course, you'll learn about the different stages involved in upgrading an organisation's computer network from Windows 7 to Windows 10, this includes considerations such as:* Planning your upgrade project* Identifying potential issues before proceeding with the upgrade* Auditing your network environment* Communicating with various departments within your organisation* Ensuring that your IT helpdesk team are prepared to deal with additional incoming support requests.* Disposing of old equipment securelyThere are also some real-world examples of unexpected hardware and software issues that can occur during a Windows 10 upgrade project. Whilst the best way to upgrade depends on your organisation, the basics are explained within this course."
Price: 19.99
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| "2 in 1 Arcore & Vuforia in Unity 3D : Make Stack Game AR" |
"This Course Is made for all Levels , you don't need to be good at Unity3D or C#.All you need to have is Unity3D 2019.3 version or above.Augmented Reality has never be easier.Discover the Power of augmented reality, how easy it is.Show your friends what 30 min can do to make stunning thingWhat to Learn ?ARcore Vuforia Game MechanicsAugmented realityUnity AR Best practice to save time.Fast DevelopingC# Reverse Engineering using Visual StudioDebuggingFixing Errors and Problems generated by making the Game AR.Unity Interface3D ScriptingPrototypingUnity arVisual StudioVisual Studio 2019Why Unity3D ?-Already contain Physics Engine-Arcore Team supports Unity3D engine as first periorty.-Unity is designed for mobile devicesWhy Arcore ?This should be related with your project need:if your project is based on Image Target detection you sould use Vuforia SDKelse Arcore is the best in all.Arcore detect the floor.Arcore detect WallsArcore detect roofArcore is more flexible cause it use anchors, Vuforia use only the center of the imageTarget as The center of the world Arcore VS VuforiaArcore Quality is better Arcore Developement cost is more expensiveArcore Developement time is more than Vuforia about 5 timesVuforia Errors can be seen in Editor Consol always, Arcore somtimes the InstantPreview.apk don't work in the device side.You should verify that your android or iOS device is supported by Arcore :in their official website.arcore vuforia unity - Subscribe Introduction to ARCore Augmented Faces, AndroidHow to install vuforia in unity 2019Augmented reality (AR) overlays digital content and information onto the physical world as if they're actually there with you, in your own spaceOne technology that's truly shaking up the landscape is augmented reality (AR), which superimposes an image onto a user's view of the real world and enhances it with sound, touch, and even smell ar tutorial easy unity ar tutorial for beginners unity ar foundation tutorial unity 2019 target#Computer vision#Augmented Startups#install vuforia#install vuforia sdk unity#install vuforia in unity 2019#4k#how to install vuforia in unity#yt:cc=on Augmented reality for beginners tutorial in unity How To Augmented Reality Video Playback Unity 20172018 & Vuforia Aren't you interested in :Vuforia, Arcore, AR,Augmented Reality,game mechanics,unity,Transform Game to Augmented Reality,3D Scripting,Unity AR,Prototyping,Visual Studio,Visual Studio 2019,Fast Developing,C#,Reverse Engineering,Spark AR Studio,Game Physics,Debugging,Game Asset,User Interface,Game Development Fundamentals,ar foundation,,mapbox,Android Development,spark ar,iOS Development,Rapid Application Development,vuforia unity ,spark r studio,android game,android game development,mobile game,ios game,ios game development,game development,Build APK to Android arcore vuforia unity, ARKit Tutorial, ARCore Tutorial, Vuforia Tutorial, Unity Tutorial, Filip Baba, How to make an AR Experience, Software, augmented reality glasses, android arcore, ar unity, ar unity tutorial, arcore vuforia unity, how to install vuforia in unity, install vuforia in unity 2019, introduction to arcore augmented faces, augmented reality, Augmented Reality, unity ar tutorial for beginners, how to arcore unity, install vuforia sdk unity, augmented reality for beginners, how to augmented reality, unity make a game, unity ar foundation tutorial, unity 2019 ar foundation, unity make a game, unity arcore vs vuforia, ar unity tutorial android, arcore vs vuforia unity, using arcore with vuforia unity, Art&Design Purdue University, augmented reality tutorial, unity ar tutorial, unity augmented reality, unity 2019.1 game, How to make an AR Experience, arcore tutorial, make a game without coding, augmented reality tutorial for beginners, install vuforia 8 in unity, unity vuforia, arcore augmented faces, hello world arcore, unity and arcore, arcore android tutorial, how to arcore, unity ar, unity arcore, unity3d and vuforia, vuforia object recognition, vuforia image target, vuforia unity tutorial, unity ar game, unity cross platform, unity arcore, unity game dev, unity mobile game, unity ar foundation, unity 2019 ar, unity 2019 arfoundation, ar core unity, arcore course, google arcore, augmented reality unity, vuforia tutorial, vuforia android, vuforia studio, vuforia 8, Unity Vuforia, Unity 2020, unity mobile, unity 2019, unity tutorial, Vuforia unity, ar unity, vuforia and unity3d, How to, Game Engine, ARCore Setup, Google ARCore, Unity ARCore, unit AR, Unity AR Tutorial, Unity Technologies, Game Development, arcore vuforia unity"
Price: 199.99
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| "Perfect Customer Service Template: Easily Train Your Team" |
"With 30 years in leadership roles, I have fine-tuned a super simple process that allows you to implement a customer service template for your team that is not only easy to follow but super effective as well. It seriously only takes about 30-minutes of training to get your entire team following this method. No need to spend hours watching other courses or reading books. Take advantage of all my years of experience."
Price: 19.99
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| "Erfolgreich Agil - Scrum, Kanban und fur jedes Business" |
"Dieser Scrum Kurs bringt dich voran. In deiner Organisation mchtest du: Top Produkte entwickeln ? Beste Dienstleistungen Anbieten ?Auf alle Marktvernderungen schnell und richtig reagieren knnen ?Agile Methodiken knnen dir helfen diese Ziele zu erreichen, die Methodiken die eigentlich aus der Software Entwicklung kommen werden in diesem Kurs fr alle Geschftsbereiche vermitteltDas Agile Manifest ist Grundlage vieler Agiler Methoden,Individuen und Interaktionen mehr als Prozesse und WerkzeugeFunktionierende Software mehr als umfassende DokumentationZusammenarbeit mit dem Kunden mehr als VertragsverhandlungReagieren auf Vernderung mehr als das Befolgen eines PlansResponding to change, das reagieren auf Vernderung ist eines der wichtigen Prinzipien in der Agilen Methodik,sich verndere Mrkte und Kundenerwartungen sind die grssten Herausforderungen der heutigen Zeit. Die Agilen Methodiken helfen Organisationen sich schneller anzupassen und so Herausforderungen besser zu meistern.Mit diesem Scrum Kurs lernst du auch andere Agile Methoden wie Kanban und Lean Startup Methoden einzusetzen und werde so zu einem Gewinner einer Geschftswelt im Wanden und ziehen sie ihren Profit aus Vernderung und Digitalisierung.Der beste weg in Agiles Projektmanagement."
Price: 59.99
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| "Adobe After Effects: Infographics & data visualization" |
"Hi there my name is Nshuti Paulin and i'am motion graphics designer welcome in this infographics & data visualization course the course that will teach you how to create infographics animation from scratchThis course is for beginners. You dont need any previous knowledge in VFX Compositing or any motion graphics experience. Well start with the super basics, taking simple icons breathing life into to them with After Effects.i will work you through all the steps to create infographics animation from animating icons with text animation , creating beautiful and gradient background, creating animated background, creating animated world map, where to find free music and sound for your project, where to download free icons and graphics for infographics Know that I will be around to help - if you get lost you can drop a post on the video 'Questions and Answers' below each video and I'll be sure to get back to you.What are you waiting for? Enroll Now!"
Price: 64.99
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| "Childrens TANTRUMS and MISBEHAVIOR'S" |
"In this session you will learn simple techniques to deal with children's tantrums and misbehavior's and how to make kids stay focused on one thing, sibling rivalry and much more. Listen to masterful solutions and guidance from India's to most Parenting expert, Narendra Goidani. This session discusses a few fantastic methods that makes kids cooperate & makes life easy for parents."
Price: 2560.00
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| "How to instruct so that your child will LISTEN?" |
"In this course you will learn some simple and effective techniques and parenting insights which will help you to understand how to instruct children in a way that they will listen to you and in turn make your life easy. Listen to the masterful answers and guidance from India's Parenting expert, Narendra Goidani."
Price: 3200.00
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| "Light -Reflection and Refraction" |
"We see variety of objects in the world around us . However we are unable to see anything in a dark room On lighting up the room things become visible . What makes things visible ? During the day sunlight helps us to see the objects . An object reflects light that falls on it . This reflected light received by our eyes enables us to see things . We are able to see through a transparent medium as light is transmitted through it . There are a number of wonderfull phenomenon associated with light such as image formation by mirrors , the twinkling of stars , the beautiful colours of rainbow bending of light by a medium , and so on. we shall study in this course the reflection of light by spherical mirrors and refraction of light and their application in real life situations ."
Price: 19.99
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| "Quadratic Equations and Expressions-Class 11 Maths-ISC" |
"What are quadratic equations? Most of us know that a quadratic equation is a degree 2 equation in one variable. For those of you who would like to learn more about quadratic equations and how to solve them and also for Class 11, ISC Maths students, this video is for you! This is my first course on quadratic equations . Here, you will learn about i. How to solve a quadratic equation, using the formula. You can also solve it by direct factorisation, but what happens if the correct factors don't click in your mind. ii. What happens if the equation is not a quadratic? Can it be converted to a quadratic? Most certainly, yes. Watch this video to know how! iii. The rest of the course consists of 2 more lessons . iv. These cover the nature of the roots of a quadratic equation. You will learn about the discriminant and how to tell if the roots are distinct , equal or imaginary depending on the nature of the discriminant. v. The course ends with a subtle reference to the sum and product of the roots of a quadratic equation, which is what Part 2 of this course will be about. Let this be one of the 5 things you will do in 2020! As I always insist, the only way to study Mathematics is by doing it. So, take a pen and paper and practice along!"
Price: 19.99
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| "Se fixer des objectifs comme des entrepreneurs succs" |
"Pourquoi il ya des gens qui se fixent et REALISENT leurs rves alors que d'autres n'atteignent mme pas le dixime de leurs objectifs. Pourquoi certains russissent, d'autres non? La beaut de ce cours est que nous vous donnons le secret de ceux qui russissent, nous rpondons deux questions:1. Pourquoi se fixer des objectifs ?2. Comment se fixer des objectifs ?Au bout de cette formation, vous allez changer votre perception de l'avenir parce que nous pouvons enfin nous fixer et raliser nos objectifs."
Price: 19.99
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| "Mathematical intuition behind Special and General Relativity" |
"This course starts from the incompatibility between Galileo's principle and Maxwell's equations, and expands on that in order to consistently formulate Special Relativity and later on, in the second part of the course, General Relativity. The other main purpose is to stimulate students to develop the mathematical intuition required to fully grasp and appreciate the contents of these subjects. Therefore, EVERY equation in this course will be motivated. Besides, other key concepts such as: Lagrangian mechanics (i.e. the Action Principle, Lagrange equations), tensors, will be fully covered in the course. The main prerequisites to the course are Calculus and Multivariable Calculus, especially: the divergence theorem, vectors, dot and cross products, matrix multiplication, determinants. Some (basic) knowledge of Classical physics is recommended, such as: scalar potential, Newton laws, Kinetic energy, Energy conservation, Wave equation (and I mean just the mathematical form of the equation)."
Price: 199.99
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| "YOGA-ASANAS / POSTURES" |
"My journey of YOGA started at the age of 42 ! After 5 years I wonder how a changed man I am ,in one word JOYOUS .I had a book of Yoga which I had got as a gift ,20 years ago which was just collecting dust and pages were turning yellow ,I picked it up to clean and started reading and thus began my journey of yoga .Someone has rightly said "" WHEN THE SPRING COMES ,THE GRASS GROWS BY ITSELF "" ? The spring came late but I am glad that it came .So if you have missed the train like me ,but now you aspire to learn YOGA in its purest form then this course is for you .Whatever your age ,physique may be ,it's never late to start Yoga and I say this with experience ."
Price: 3200.00
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| "Oracle Weblogic 12c for Administrators: A Complete Guide" |
"Oracle WebLogic Server is a scalable, enterprise-ready Java Platform, Enterprise Edition (Java EE) application server.The WebLogic Server infrastructure supports the deployment of many types of distributed applications and is an ideal foundation for building applications based on Service-Oriented Architectures (SOA).SOA is a design methodology aimed at maximizing the reuse of application servicesThe WebLogic Server complete implementation of the Java EE 5.0 specification provides a standard set of APIs for creating distributed Java applications that can access a wide variety of services, such as databases, messaging services, and connections to external enterprise systems.End-user clients access these applications using Web browser clients or Java clients. It also supports the Spring Framework, a programming model for Java applications which provides an alternative to aspects of the Java EE modelWebLogic Server clusters provide scalability and reliability for your applications by distributing the workload among multiple instances of WebLogic Server. Incoming requests can be routed to a WebLogic Server instance in the cluster based on the volume of work being processed. In case of hardware or other failures, the session state is available to other cluster nodes that can resume the work of the failed node.Work Managers prioritize work based on rules you define and by monitoring actual run time performance statistics. This information is then used to optimize the performance of your application.WebLogic Server persistent store is a built-in, high-performance storage solution for WebLogic Server subsystems and services that require persistence. For example, it can store persistent JMS messages or temporarily store messages sent using the Store-and-Forward feature. The persistent store supports persistence to a file-based store or to a JDBC-enabled database.Enterprise-ready deployment tools facilitate deployment and migration of applications from the development phase to a production environment.Production redeployment enables enterprises to deploy a new version of their application without interrupting work in progress on the older version."
Price: 19.99
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| "Ultimate AWS Certified Developer Associate Examination 2020" |
"Amazon Web Services - (AWS) Certification is a growing and essential certification for any IT professional or developer working with AWS. This course is designed to help you pass the AWS Certified Developer Associate 2020 Exam. Even if you have no prior knowledge of the AWS platform before, by the end of this AWS course you will be able to take the exam. No specific programming knowledge is needed although knowing at least one programming language would be advantageous and no prior AWS experience required. With AWS certification, you will have an advantage over other developers in the industry and will have the upper hand in any cloud or development related job.Please note, this is not a course to teach you how to code, this course is specifically designed on helping you to pass the AWS Certified Developer exam.AWS are constantly evolving their platform, This course will help you find the study material also and will guide you to keep up to date with the exam and AWS services as well.All lectures are 5 - 15 minutes long. The Hands-on Labs are designed in such a way to guide you through each step and help you understand all the possibilities and overcome all the hurdles in deploying applications and migrating your local services to the AWS platform"
Price: 19.99
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| "Machine Learning A-Z: Hands-On Python & R in Data Science" |
"This course teaches big ideas in machine learning like how to build and evaluate predictive models. This course provides an intro to clustering in R from a machine learning perspective.This online machine learning course is perfect for those who have a solid basis in R and statistics but are complete beginners with machine learning. Youll get your first intro to machine learning.After learning the true fundamentals of machine learning, you'll experiment with the techniques that are explained in more detail. By the end, you'll be able to learn and build a decision tree and to classify unseen observations with k-Nearest Neighbors.Also, you'll be acquainted with simple linear regression, multi-linear regression, and k-Nearest Neighbors regression.This course teaches the big ideas in machine learning: how to build and evaluate predictive models, how to tune them for optimal performance, how to preprocess data for better results, and much more.At the end of this course, our machine learning and data science video tutorials, youll have a great understanding of all the main principles.Details of the course:Module 01: Basics of R toolIn this video, we are going to install r programming with rstudio in Windows Platform.Lab 01 R Installation and ConceptsIn this lab, we are going to learn about how we can install R Programing in Windows and learn about its several key concepts that are necessary for Programming in R.Video 2_R Programming ConceptsIn this video, we are going to learn the necessary concepts of RProgramming.Video 3_R Progrming ComputationsIn this tutorial, we will be learning about several mathematical algorithms and computations.Lab 02 R Programing ComputationsIn this lab, we are going to understand RData Structures that include - vectors, matrices, arrays, data frames (similar to tables in a relational database), and lists in R Programing Computations.Video 4_R Data StructuresIn this video, we will discuss R data structures that resemble a table, in which each column contains values of one variable and each row contains one set of values from each column.Module 02: Basic Data VisualizationIn this video, we will be understanding circular statistical graphics, which is divided into slices to illustrate numerical proportions in a pie chart.Lab 03 Plotting Pie Chart using R ToolIn this practical demonstration, you will learn how we can plot a pie chart. Also, well learn the representation of values as slices of a circle with different colors in the pie chart using the R tool.Video_6 Bar ChartsIn this video, we will learn the categorical data with rectangular bars with heights or lengths proportional to the values that they represent in the bar chart.Lab 04 Plotting Bar Chart using R ToolIn this lab, we are going to learn how we can plot a bar chart that represents data in rectangular bars with a length of the bar that is proportional to the value of the variable using the R tool.Video_7 Box PlotIn this video, we learn about how we can display the distribution of data in a standardized way in Boxplot.Lab 05 Making Box Plot using R ToolIn this lab, we will discuss how we can make a box plot which is a measure of how well the data is distributed in a data set and it divides the data set into three quartiles using the R tool.Video_8 HistogramsIn this video, we are going to learn about the histograms which are the graphs of a distribution of data that is designed to show centering, dispersion (spread), and shape (relative frequency) of the data by using its different functions.Lab 06 Working on Histograms using R ToolIn this lab, well be working on histograms that represent the frequencies of values of a variable bucketed into ranges where each bar in histogram represents the height of the number of values present in that ranger creates a histogram using hist() function.Video_9 Line ChartsIn this video, we are going to learn about the line charts which are also known as Line graph that is used to visualize the value of something over time.Lab 07 Plotting Line Chart using R ToolIn this lab, we will learn how we can plot a line chart which is a graph that connects a series of points by drawing line segments between them, and then these points are ordered in one of their coordinates (usually the x-coordinate) value.Video_10 Scatter PlotIn this video, we are going to learn about a set of points plotted on a horizontal and vertical axis which is important in statistics because they can show the extent of correlation, if any, between the values of observed quantities or phenomena (called variables) in Scatter plot.Lab 08 Working on Scatterplot using R ToolIn this lab, we will be working on Scatterplot which shows many points plotted in the Cartesian plane at where each point represents the values of two variables. In this one variable is chosen in the horizontal axis and another in the vertical axis. The simple scatterplot can be created using the plot() function.Video_11 Case Study Basic Data VisualizationIn this video, we will explore some interesting case studies on basic data visualizations which is useful for getting a basic understanding of what characteristics is happened in different cases of data visualization with its constituent approaches.Module 03: Advanced Data VisualizationVideo_12 Basic Illustration of ggplot2 PackageIn this video, we will learn about the ggplot2 package which is a system for declaratively creating graphics, based on The Grammar of Graphics at where we provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.Lab 09 Basic Illustration of ggplot2 PackageIn this lab, we are going to perform a basic illustration on the ggplot2 package which includes a popular collection of packages called the tidyverse at where each geom accepts a particular set of mappings using the R tool.Video_13 FacetingIn this video, we are going to learn about faceting. How we can facet our data with facets by which you can gain an additional way to map the variables.Lab 10 Facetting using R ToolIn this lab, well be learning about how we can perform faceting by facet the data which creates a matrix of panels defined by row and column faceting variables. facet_wrap() , which wraps a 1d sequence of panels into 2d.Video_14 Jitterred PlotsIn this video, we are going to learn about Jittering which means adding random noise to a vector of numeric values, which is done in jitter-function by drawing samples from the uniform distribution in jittered plots.Lab 11 Working on Jiterred Plots using R ToolIn this lab, well be working on jittered plots where we jitter the data and makes the data easy to understand which uses points to graph the values of different variables.Video_15 Frequency PolygonsIn this video, we will learn how we can represent our data in a graphical form in Frequency Polygon which is used to depict the shape of the data and to depict trends and usually drawn with the help of a histogram but can also be drawn without it as well.Lab 12 Making Frequency Ploygons with Histograms using R ToolIn this lab, we will be discussing how we can make frequency Polygons with histograms that represent the frequencies of values of a variable bucketed into ranges.Video_16 Time SeriesIn this video, we are going to learn about the time series of data points indexed (or listed or graphed) in time order.Lab 13 Working on TimeSeries using R ToolIn this lab, we will be working on time series where the statistical algorithms will work and a record will maintain time by time for a particular period of time.Lab 14 Creating Surface Plots using R ToolIn this lab, we will discuss on how we can create a multi-dimensional surface plot, which is a three-dimensional surface that has solid edge colors and solid face colors the function plots the values in matrix Z as heights above a grid in the x-y plane defined by X and Y and the color of the surface varies according to the heights specified by Z.Lab 15 Working on Revealing Uncertainty using R ToolIn this lab, we will work on revealing uncertainty in data that occurs in domains ranging from natural science to medicine to computer science at their participants described what uncertainty looks like in their data and how they deal with it.Lab 16 Understanding Weighted DataIn this lab, we will be understanding the weighted data which is used to adjust the results of a study to bring them more in line with what is known about a population.Lab 17 Drawing Maps and highlighting Vector BoundariesIn this lab, we will learn how we can draw maps and highlights the vector boundaries which besides the actual map with various elements step by step and draw a nice realistic vector map drawing.Lab 18 Working on Diamonds Data SetIn this lab, we will be working on diamonds data set at where we learn how we can import dataset libraries and understand the linear relationship between two variables which contains different attributes.Lab 19 Dealing with OverlappingIn this lab, we are going to learn about how we can deal with overlapping if we have two pieces of something, and one is covering a part of another, then they overlap in it.Lab 20 Working on Statistical SummariesIn this lab, we will be working on statistical summaries that summarize and provide information about our sample data which tells us something about the values in our data set that includes the average lies and whether our data is skewed.Module 04: Leaflet MapsVideo 17_Implementing Leaflet with RIn this video, we will learn about how we can implement leaflets in R by using its open-source JavaScript libraries for interactive maps.Lab 21 Implementing Leaflet with R toolIn this lab, we will understand how we can implement Leaflet which is a popular open-source JavaScript library for the interactive maps using the R tool.Video 18_Using Basemaps and Adding Markers in MapIn this video, we are going to learn about the basemaps in R and understand how we can add markers in a map.Lab 22 Adding Markers in a MapThis lab will learn how we can add markers in a map where the map includes a marker, also called a pin, to indicate a specific location.Video 19_Popus and LabelsIn this video, we are going to learn how we can attach textual or HTML content that displayed on mouse hover using popups and labels where popups don't need to click a marker/polygon for the label to be shown.Lab 23 Working with Popups and LabelsIn this lab we will be working on Popups and labels which are small boxes containing arbitrary HTML, that point to a specific point on the map we use the addPopups() function to add standalone popup and addLabel() function to add a little label to the map.Video 20_Shiny Framework using Leaflet and RIn this video we are going to understand about a web shiny framework and Leaflet at where we assign a render leaflet call to the output inside the render leaflet expression where you return a leaflet map object.Lab 24 Shiny Framework using Leaflet and RIn this lab, we will make a shiny framework using leaflet and R as where in the UI you call leafletOutput, and on the server side you assign a renderLeaflet call to the output. Inside the renderLeaflet expression, you return a Leaflet map object and the web framework is completed.Module 05: StatisticsVideo 21_Linear RegressionIn this video you will learn about the linear approach to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables) in Linear Regression.Lab 25 Working with Linear RegressionIn this lab, we will work on Linear regression where we will find a line that best fits the data points available on the plot, so that we can use it to predict output values for inputs that are not present in the data set we have, with the belief that those outputs would fall on the line.Video 22_Multiple RegressionIn this video, we are going to understand an extension of simple linear regression, which is used when we want to predict the value of a variable based on the value of two or more other variables in multiple regression.Lab 26 Working with Multiple RegressionIn this lab we will perform multiple regression which is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.Video 23_Logistic RegressionIn this video we are going to learn about Logistic regression which is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome.Lab 27 Performing Logistic RegressionIn this lab, we will be performing Logistic Regression which is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.Video 24_Normal DistributionIn this video, we will learn about an arrangement of a data set in which most values cluster in the middle of the range and the rest taper off symmetrically toward either extreme in Normal Distribution.Lab 28 Working with Normal DistributionIn this lab, well be working on normal distribution which is a probability function that describes how the values of a variable are distributed it is an asymmetric distribution where most of the observations cluster around the central peak and the probabilities for values further away from the mean taper off equally in both directions.Video 25_Binomial DistributionIn this video, well be discussing the binomial distribution which is a specific probability distribution that is used to model the probability of obtaining one of two outcomes, a certain number of times (k), out of a fixed number of trials (N) of a discrete random event.Lab 29 Performing Binomial DistributionIn this lab, well be performing binomial distribution which consists of the probabilities of each of the possible numbers of successes on N trials for independent events that each have a probability of of occurring.Video 26_Poission RegressionIn this video, we are going to learn about Poisson regression which is used to model response variables (Y-values) that are counts and tells you which explanatory variables have a statistically significant effect on the response variable.Lab 30 Working with Poisson RegressionIn this lab, we will be working on Poisson regression which is used to model response variables (Y-values) that are counts and also tells you which explanatory variables have a statistically significant effect on the response variable.Video 27_Analysis of CovarianceIn this video, we will learn about Analysis of covariance (ANCOVA) which allows to compare one variable in two or more groups taking into account (or to correct for) variability of other variables that are also called covariates.Lab 31 Analysis of CovarianceIn this lab we will understand the analysis of covariance which is used to test the main and interaction effects of categorical variables on a continuous dependent variable, controlling for the effects of selected other continuous variables, which co-vary with the dependent.Video 28_Time Series AnalysisIn this video, we are going to learn about the sequence of well-defined data points measured at consistent time intervals over a period of time in time series analysis.Lab 32 Time Series AnalysisIn this lab, we will be performing time series analysis which is a sequence of well-defined data points measured at consistent time intervals over a period of time and also use statistical methods to analyze time-series data and extract meaningful statistics and characteristics about the data.Video 29_Decision treeIn this video we are going to learn about the graph that uses a branching method to illustrate every possible outcome of a decision in Decision tree.Lab 33 Working with Decision TreeIn this lab, we are going to work on the decision tree which is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.Lab 34 Implementation of Decision Tree in DatasetIn this lab, we will learn how we can implement a decision tree by splitting the training set of the dataset into subsets while making the subset we have to take care that each subset of training dataset should have the same value for an attribute.Lab 35 Working with Nonlinear Least SquareIn this lab, we will be working on non-linear least-square which is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m n) and refine the parameters by successive iterations.Video 30_Survival AnalysisIn this video, we are going to understand the set of methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest while performing Survival Analysis.Lab 36 Working with Survival AnalysisIn this lab we will be working on survival analysis is generally defined as a set of methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest.Module 06: Data ManipulationVideo 31_Data Mungigng and VisualizationIn this video, we will learn about data munging and visualization at where we transform and map data from one ""raw"" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics.Video 32_Hearchical ClusteringIn this video, we will understand an algorithm that groups similar objects into groups called clusters while learning Hierarchical Clustering.Lab 37 Working with Hierarchical ClusteringIn this lab we are working on hierarchical clustering which typically works by sequentially merging similar clusters, it can also be done by initially grouping all the observations into one cluster, and then successively splitting these clusters.Video 33_K-means ClusteringIn this video we are going to learn the clustering which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster in k-means clustering.Lab 38 K means ClusteringIn this lab well be performing K means clustering which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.Module 07: H2O PackageVideo 34_Supervised and Unsupervised LearningIn this video, we are going to understand how we can train the machine using data that is well labeled and where you do not need to supervise the model while learning Supervised and unsupervised learning.Lab 39 Working with Supervised and Unsupervised LearningIn this lab, we are working on Supervised and unsupervised learning which is a machine learning technique, where you do not need to supervise the model it allows you to collect data or produce a data output from the previous experience.Video 35_Regression with H2OIn this video, we will learn the scalable open-source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines, etc. in regression with H2O.Lab 40 Installation of H2O PackageIn this lab, we will learn about how we can install the H2O package in R which has several distributions containing almost all the data science packages.Module 08: TensorFlow PackageLab 41 Performing Regression with TensorFlowIn this lab, we are going to perform regression with TensorFlow which aims to predict the output of a continuous value and provide the model with a description.Module 09: First Machine LearningVideo 36_Machine Learning with Dataset and Iris Dataset ImplementationIn this video, we are going to learn the use of Multiple Measurements in Taxonomic Problems with 50 samples each as well as some properties about each flower in Machine learning with dataset and iris dataset implementation.Lab 42 Machine Learning with DatasetIn this lab, we will learn machine learning with a dataset that contains a handful number of great datasets that can be used to build computer vision (CV) models.Video 37_Evaluation of Algorithms with Model and Selecting Best ModelIn this video, we are going to learn about the algorithm over a training dataset with different hyperparameter settings that will result in different models where we selecting the best-performing model from the set in evaluating algorithms with model and selecting the best model.Lab 43 Evaluation of Algorithms with ModelsIn this lab, we are going to perform the evaluation of algorithms with models which is an integral part of the model development process and it also helps to find the best model algorithms that need a validation set.Module 10: Artificial Neural NetworksVideo 38_Demonstration of sample Neural NetworkIn this video, we will learn that how we can demonstrate a neural network by taking a sample in this at where discuss its different features.Video 39_Prediction Analysis of Neural Network and Cross-Validation Box PlotIn this video, we will understand how we can perform prediction analysis of neural networks and learn how we can cross-validate our data while using boxplot by discussing both.Module 11: Cluster GenerationVideo 40_ClusteringIn this video, well be discussing clustering which is a task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters).Video 41_Cluster Generation Output AnalysisIn this video, we are going to learn all about cluster generation at where we understand that how we can perform a specific task and gets a specific output in cluster generation output analysis.Module 12: Decision TreesLab 44 Plotting a Decision TreeIn this lab, we are going to plot a decision tree which is basically a binary tree flowchart where each node splits a group of observations according to some feature variable.Module 13: Text MiningVideo 42_ Text MiningIn this video we are going to understand the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords, and other attributes in the data in text mining.Lab 45 Text Mining with RIn this lab, we will be performing text mining with R which contains each document or set of text, along with some meta attributes that help describe that document.Module 14: Beginning the Data Science JourneyVideo 43_Data ScienceIn this video, we will be discussing the data science which is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies.Video 44_Why is Data Science so important?In this video, we will learn the different methods in data science and understand how the data would be represented in better form and why it is so important.Video 45_Python Data Science EcosystemIn this video, we are going to learn the whole ecosystem of python at where we understand how we can load the libraries in order to perform data science tasks in Python.Module 15: Introducing JupyterVideo 46_Basics of JupyterIn this video, we are going to understand the main components like the kernels and the dashboard where it has the kernel for python code in Jupyter basics.Lab 46 Installing AnacondaIn this lab, we are going to learn about how we can install Anaconda in windows as per your system requirements.Lab 47 Starting with jupyterIn this lab, we are going to learn about how we can use Jupyter which allows you to start more than just Notebooks at where you can also create a text file, a folder, or a Terminal in your browser.Lab 48 Basics of jupyterIn this lab, we are going to learn the basics of Jupyter which are necessary to understand while you are giving several commands in Jupyter.Video 47_Markdown SyntaxIn this video we are going to learn about the format for writing for the web in Jupyter while using the Markdown syntax function.Lab 49 Working with Markdown SyntaxIn this lab, we will be working on markdown syntax which is to be used as a format for writing for the web.Module 16: Understanding Numerical Operations with NumPyVideo 48_1D Arrays with NumPyIn this video, we will be discussing the NumPy at where we learn about the 1-dimension array and understand its different features and know about different libraries and tools like Pandas in 1D arrays with NumPy.Lab 50 1D arrays with numpyIn this lab, we will learn how we can create a 1-dimensional array with NumPy at where you can get the particular array object which discovers vectors, matrices, tensors, matrix types, matrix factorization, etc.Video 49_2D Arrays with NumPyIn this video, we are going to learn about how the 2-dimensional arrays work by importing different libraries and tools in 2D Arrays with NumPy.Lab 51 2D Arrays with NumPyIn this lab, we will learn how we can create a 2-dimensional array with NumPy at where you can get an array object which discovers several dimensions that have a container of items of the same type and size.Video 50_Functions in NumPyIn this video, we will understand different functions of NumPy which contains a large number of various mathematical operations and provides standard trigonometric functions, functions for arithmetic operations, handling complex numbers, etc.Lab 52 Functions in NumPyIn this lab we are going to perform different functions of NumPy which contains a large number of various mathematical operations and also provides a standard trigonometric function, functions for arithmetic operations, handling complex numbers, etc.Video 51_Random Numbers and Distributions in NumPyIn this video, we will learn the different random numbers like its dftype , np . int etc in NumPy and understand how we can demonstrate it using several distributions in NumPy.Lab 53 Random Numbers and Distributions in NumPyIn this lab, we will learn about the random numbers which return an array of specified shape and fills it with random integers and the several distributions with NumPy while using Jupyter.Module 17: Data Preparation and Manipulation with PandasVideo 52_Pandas PackageIn this video, we are going to understand the pandas package which is an open-source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.Video 53_Read in Data Files &Subsetting DataFramesIn this video, we will understand how we can read a CSV file into a pandas' DataFrame and how we can subset data frame using subset function which lets us subset the data frame by observations.Lab 54 Subsetting DataFramesIn this lab, we will learn how we can subset our data for the selection of data frame elements that look something like the df[ ] df. loc[ ].Video 54_Boolean Indexing in DataFramesIn this video we are going to learn all about Boolean Indexing in DataFrames at where we have to give each row of the DataFrame (or value of a Series) will have a True or False value associated with it depending on whether or not it meets the criterion.Lab 55 Boolean Indexing in DataFramesIn this lab we will learn how we can perform Boolean indexing in each row of the DataFrame (or value of a Series) that have a True or False value associated with it, depending on whether or not it meets the criterion.Video 55_Summarizing and Grouping DataIn this video, we will discuss aggregating functions that sometimes the user needs to view the summary of the data and learn how we can group data by columns or rows you select, which helps you better to understand your data.Lab 56 Summarizing and Grouping DataIn this lab, we are going to learn how we can summarize and group our data which contains aggregated values useful for analyzing the data and provides aggregate functions to generate the summarized and grouped data.Module 18: Visualizing Data with Matplotlib and SeabornLab 57 Graphs with MatplotlibIn this lab, we will understand the graphs with matplotlib which is a collection of command style functions that make matplotlib that will introduce you to graphing in python with Matplotlib.Module 19: Introduction to Machine Learning and Scikit-learnVideo 56_Types of Machine LearningIn this video, we will learn the semi-automated extraction of knowledge from data and understand the different sub-categorized types of machine learning methods.Video 57_Introduction to Scikit learnIn this video, we will learn about the different methods of cleaning, uniforming, and streamlined API, as well as by very useful and complete online documentation in an introduction to Scikit learn.Module 20: Building Machine Learning Models with Scikit-learnVideo 58_Linear, Logistic, K-Nearest, Decision Trees, Random ForestIn this video, we will discuss different regression and its classification like Linear, Logistic, k-Nearest, Decision Trees, Random Forest, etc.Lab 58 Working with Linear RegressionIn this lab, we will be performing linear regression which is a basic and commonly used type of predictive analysis, which is used to examine things and shows a straight line through data points.Lab 59 Working with K-means ClusteringIn this lab, we are working with K-means clustering which is used when you have unlabeled data and works iteratively to assign each data point to one of the K groups based on the features that are provided.Module 21: Model Evaluation and SelectionVideo 59_Performance MetricsIn this video, we are going to learn about the figures and data representation of an organizations actions, abilities, and overall quality and different forms of performance metrics, including sales, profit, return on investment, customer happiness, customer reviews, personal reviews, overall quality, and reputation in a marketplace in performance metrics.Lab 60 Working on Performance MetricsIn this lab, we are going to understand about the use of metrics to understand and evaluate employee performance that can be essential for identifying objects.Video 60_Cross-ValidationIn this video, we will understand a technique used to protect against overfitting in a predictive model, particularly in a case where the amount of data may be limited and learn how we can cross-validate data in cross-validation.Lab 61 Hands-on with Cross-ValidationIn this lab, we will understand cross-validation which is a method of evaluating a machine learning model's performance across random samples of the dataset.Video 61_Grid SearchIn this video, we will be discussing grid search which is the process of scanning the data to configure optimal parameters for a given model and build a model on each parameter combination possible which iterates through every parameter combination and stores a model for each combination.Module 22: Getting Started with Python and Machine LearningVideo 62_Introduction to Machine LearningIn this video, we are going to learn about artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed in machine learning.Lab 62 Installing Software and Setting UpIn this lab, well learn about the step by step installation of software by understanding its different settings. In this video, we will be setting-up the software.Module 23: Exploring the 20 Newsgroups Dataset with Text Analysis AlgorithmsVideo 63_Exploring the 20 Newsgroups Dataset with Text Analysis AlgorithmsIn this video, we will learn how we can explore the 20 newsgroups dataset with the text analysis algorithms by discovering serval algorithms and different techniques in it.Lab 63 Touring Powerful NLP Libraries in PythonIn this lab, well be touring the powerful libraries of NPL in python where these packages handle a wide range of tasks such as part-of-speech (POS) tagging, sentiment analysis, document classification, topic modeling, etc.Lab 64 Getting the Newsgroups DataIn this lab, well be learning how we can get newsgroups data which is a collection of approximately 20,000 newsgroups so every unique word will have a unique value in our dictionary which is the most commonly used algorithm for text classification, Naive Bayes, etc.Lab 65 Thinking about FeaturesIn this lab, we will learn about the different features that are needed to fulfill the work and helps us to gather great ideas that can be done while using the tool.Lab 66 Working with VisualizationIn this lab we will understand that how we represent information and data in a graphical form by using visual elements like charts, graphs, data visualization tools that provide an accessible way to see and understand trends, outliers, and patterns in data.Video 64_Data Preprocessing and Topic ModelingIn this video, we will understand statistical modeling for discovering the abstract topics that occur in a collection of documents and learn how we can preprocess our data in Data preprocessing and Topic Modeling.Module 24: Spam Email Detection with Nave BayesVideo 65_Exploring Nave BayesIn this video, well be discussing exploring Nave Bayes at where we can explore nave Bayes that can make an assumption that the predictor variables are independent of each other.Lab 67 Model Tuning and Cross-validationIn this lab, well perform Model tuning and cross-validation which is the process of training learners using one set of data and testing it using a different set and selecting the values for a model's parameters that maximize the accuracy of the model and validate it.Module 25: News Topic Classification with Support Vector MachineVideo 66_The Mechanics of SVMIn this video, we will discuss the mechanics of the support vector machine which is a linear model for classification and regression problems that can solve linear and non-linear problems and work well for many practical problems.Lab 68 The Implementations of SVMIn this lab, we will perform the implementation of the support vector machine (SVM) that provides an analysis of data for classification and regression analysis while they can be used for regression, and is mostly used for classification.Video 67_The Kernels of SVMIn this video, well learn about the function of kernel that is to take data as input and transform it into the required form in the kernels of support vector machines (SVM).Lab 69 The Kernels of SVMIn this lab, we will work on function of kernel that can take data as input and transform it into the required form in the kernels of the support vector machine (SVM).Module 26: Click-Through Prediction with Tree-Based AlgorithmsVideo 68_Decision Tree ClassifierIn this video, we are going to learn how we can build classification or regression models in the form of a tree structure that breaks down a dataset into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed.Lab 70 Decision Tree ClassifierIn this lab, we will learn about the decision tree classifier which builds classification or regression models in the form of a tree structure and breaks down a dataset into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed.Video 69_The Implementation of Decision TreeIn this video, we will understand how we can implement a decision tree by making several predictions with criterion information for achieving the dataset in the Decision Tree.Lab 71 Random Forest banging a Decision TreeIn this lab, we will be learning about the random forest banging a Decision tree which is an ensemble bagging algorithm to achieve low prediction error and also reduces the variance of the individual decision trees by randomly selecting trees and then either average them or picking the class that gets the most vote.Module 27: Click-Through Prediction with Logistic RegressionVideo 70_Logistic Regression ClassifierIn this video, well be discussing logistic regression which is basically a supervised classification algorithm. In this classification problem, the target variable(or output), y, can take only discrete values for a given set of features(or inputs), X.Lab 72 Working on Logistic Regression ClassifierIn this lab we will learn about the logistic regression classifier which classifies the target variable(or output), y, can take only discrete values for a given set of features(or inputs), X for the contrary to popular belief, logistic regression (IS) a regression model.Video 71_Click Through Prediction with Logistic Regression by Gradient DescentIn this video, we will discuss click-through prediction which predicts clicks and works with logistic regression by using gradient Descent at where it preprocesses data, and the feature selection techniques would be done.Lab 73 Working on Feature Selection via Random ForestIn this lab, we will work on feature selection via random forest which is a process of identifying only the most relevant features which are used by random forests naturally ranks by how well they improve the purity of the node.Module 28: Stock Price Prediction with Regression AlgorithmsVideo 72_Stock Price Prediction with Regression AlgorithmsIn this video, we will learn how we can predict the future stock price with the technique, which provides relevant links by using several regressions and different algorithms in it.Lab 74 Predicting Stock Price with Regression AlgorithmsIn this lab, we will work on predicting stock price with regression algorithms where the model overfits to the date and month column instead of taking into account the previous values from the point of prediction. The model will consider the value from the same date a month ago, or the same date/month a year ago while getting it.Video 73_Data Acquisition and Feature GenerationIn this video, we are going to learn about the Data acquisition by which we can gather signals from measurement sources and digitizing the signals for storage, analysis, and presentation on a PC and understand different feature generation.Video 74_Regression Performance EvaluationIn this video, we will understand the regression performance against the ground truth at where we can evaluate it and compelled it to provide a necessary explanation regression performance evaluation.Module 29: Best PracticesVideo 75_Best PracticesIn this video, we will work on different methods that we've learned like different regression, distributions, generations, and several methods.Lab 75 Best Practices in the Training Sets Generation StageIn this lab we will learn Best practices in the training sets generation stage with well-prepared data that is safe to move on with the generation stage with their redefined training sets.Lab 76 Best Practices in the Deployment and Monitoring StageIn this lab, we will work on the Best Practices in the Deployment and Monitoring Stage at where you deploy code. And, also it will ensure that you're sufficiently monitoring production for the metrics that matter to your engineers and your business."
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| "Logo Go3 iin Kuma Takip Ara Yazlm (Yazlm Hediyeli)" |
"Kuma Takip Ara Yazlm (Logo Go3 iin). Veri taban kullanm lisans gerektirir.Kuma toplarn metrajlaryla girerek barkod kartabilir. Sat yaparken barkod okutularak kuma cinsi ve metresi arlr.Satlar eki listesi (Teslim fii) olarak detaylca top adedi ve metre toplam alnarak listelenir, kt alnabilir.Ayrca barkod cihazyla hzl depo saym, haricen barkod hazrlama ve basabilme zellii bulunmaktadr.Stoklarla ilgili bir ok rapor alnabilir, raporlar Excel'e aktarlabilir ve Pdf olarak kaydedilebilir.Yaplan btn kaytlar Logo programna anlk satnalma ve sat irsaliyesi olarak kayt edilir. Logo Go3 programndan faturalanabilir."
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| "Theories of International Relations" |
"The filed of International Relations has become an essential factor in understanding the interactions of governments and states, and how their relations can affect our life. From first sight, IR can seem broad and tiring subject because it involves history, a multitude of information, and so on. However, learning the theories of International Relations can help us to overcome the difficulties of the field and better apprehend local, regional, global, and finally ""glocal"" issues. In this course, I will try to simplify the main points of IR theories and help you to become familiar with them. I will explain Realism, Liberalism, Constructivism, and other major theories of International Relations. I will also keep the course updated so that you will be informed constantly. Why should you study IR and IR theories? The answer can vary from person to person. But I think that understanding IR can help you to establish a foundation of understanding the social world around you which in terms always influences your life. Do you feel interested and ready? Then join the course and broaden your understanding of the Theories of International Relations."
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| "How to paint Trees with Oil Pastel" |
"Oil Pastel Drawing Lessons.This is a Drawing lesson you will learn how to use Oil pastel from start to the end of Drawing.Learn how to do Oil Pastel Drawing with our lessons and tutorials.Product Features:* High Definition Oil Pastel Drawing Lessons.* Learn how to do Oil Pastel Drawing with our lessons and tutorials.* Drawing lesson that will guide you from start to the end of Drawing.* This Lessons will give you tips and techniques to do Oil Pastel Drawing.Prerequisites: A curiosity & strong desire to create different types of artwork.All you need are oil pastels, Paper, Paper napkin & graphite pencil.In this course you will: Learn to paint from the heart.Learn to paint with confidence.Learn different techniques I used in this drawing.Learn to draw Beautiful Drawing which you can hang it on your wall or gift it to your beloved ones.This Lessons will give you tips and techniques to do Oil Pastel Painting.If you're a beginner or looking to build on the foundation of knowledge you already have, Oil Pastel Drawing Lessons is a wonderful journey into the world of pastels. I will help you to gain confidence with Oil Pastel and learn to create, simple & Beautiful Drawings.You will learn my techniques of Using different techniques for Oil Pastel Drawing.Feel free to contact me if you need help on the lesson.Thank you."
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| "Google Drive - Guided Tour for Beginners" |
"Learn how to use Google Drive backup, organize, and work with your files. As you follow along in the course inside your own Google account, you will learn the tips and tricks that enable you to use Google Drive to stay organized and efficient.BackupThis is Google Drive's most basic function. It safely stores copies of your files.Work withDrive has built in apps to create documents, spreadsheets, and presentations. We will walk through each of these together.OrganizeThere are several best practices that you can develop to keep your files easy to browse and search.LevelThis course is designed for users that are new to learning about Google Drive."
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| "Real time object detection in video using YOLO on iPhone" |
"Course DescriptionLearn to build real time object detection engine using YOLO deep learning algorithm. Deep learning is popular where a machine can be trained to detect objects in video and images. Once trained, it can be used to detect objects in any video or image.Yolo (You only look Once) algorithm has become popular because of its real time nature. It can detect objects at 45 frames per second or within 20 ms. This makes it attractive to use it in self driving car where detecting objects in real time is key to avoid collisions. Unlike its predecessor, YOLO looks at image only once.Build a strong foundation in image search engines with this tutorial for beginners.Understanding fundamentals of YOLOUnderstanding fundamentals of deep learning and CNN Benefits of YOLO for self driving car use caseBuild a real life object detection in video using YOLO, coreml and swiftBuild a real life object detection in image using YOLO, coreml and swiftA Powerful Skill at Your Fingertips Learning the fundamentals of real time object detection puts a powerful and very useful tool at your fingertips. swift, YOLO and coreml are free, easy to learn, has excellent documentation.No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like CNN from scratch. Jobs in object detection area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is state of art technology that can quickly help you achieve your goal. Learning object detection with YOLO will help you become a computer vision developer which is in high demand.Content and Overview This course teaches you on how to build real time object detection engine using open source YOLO, OPNCV and Python . You will work along with me step by step to build following answersReal time object detection in VideoReal time object detection in imageFundamentals of CNN and YOLOWhat am I going to get from this course?Learn YOLO and build real time object detection engine from professional trainer from your own desk.Over 10 lectures teaching you how to build real time object detection engineSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges."
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| "Impulso, Crecimiento y Desarrollo de Profesionales Creativos" |
"Impulso, Crecimiento y Desarrollo de Profesionales CreativosEl Curso Ms Completo en Udemy para desarrollar tus habilidades de comunicacin y marketing digital y presencial y dar visibilidad a tu Profesin de Creativo, Interiorista, Arquitecto o Decorador: Aprenders Marca Persona + Presntate con Seguridad + Las Claves para tu Plan de Comunicacin+ Identificars a tu Cliente Ideal+ Crears tu Propia Pgina Web Portfolio + Crea tu Blog Profesional + Crea tu Libro de Autor ImpresoInstructores: lvaro Garca y Luca Fernndez.Contenido Actualizado: Septiembre 2020En la formacin Impulso, Crecimiento y Desarrollo de habilidades de Comunicacin y Marketing para Profesionales Creativos aprenders como crear tu Marca Personal como Profesional Creativo, a Presentarte con Seguridad como Profesionales, Crears tu Plan de Comunicacin, Aprenders a generar diversas herramientas de visibilidad, tanto Online como Offline (crear nuestra Propia Pgina Web Portfolio para vender nuestro servicios, Crearemos nuestro Blog Profesional, etc) y lo aprenderemos desde cero, hasta nivel profesional. La formacin integra herramientas de diseo grfico y audiovisual en un solo ecosistema, para comunicar y expresar tus ideas y entrenar tu creatividad. Aprenderemos a aplicar lo aprendido en nuestro plan de comunicacin haciendo nuestra propia Pgina Web Portfolio, un Blog, un Libro Creativo. El curso es perfecto para usuarios con cero o muy poco conocimiento o trayectoria profesional, as como para quienes tienen una amplia trayectoria profesional y quieren desarrollar ms su negocio.Itinerario Formativo:Introduccin y Bienvenida Impulso, Crecimiento y Desarrollo de Profesionales Creativos.Crea tu Marca Personal de Profesional CreativoPresntate con Seguridad como Profesional CreativoCrea tu Plan de ComunicacinIdentifica a Tu Cliente IdealCrea tu Propia Pgina Web Porfolio Online y vende tus servicios profesionales a clientes de todo el mundo.Crea tu Blog Profesional y posicionate como referenteCrea tu Propio Libro de Autor Impreso y ana todos tus proyectos y creaciones en un documento impreso que te posicione como referenteRecursos para el Alumno del Impulso, Crecimiento y Desarrollo de habilidades de Comunicacin y Marketing para Profesionales Creativos Emisin del Certificado de Finalizacin ""Impulso, Crecimiento y Desarrollo de Profesionales Creativos""Sobre la Formacin:La formacin te permitir convertirte en un experto en la materia, y todo ello desde una formacin principalmente prctica. A travs de variadas actividades y proyectos completos podrs adquirir los conocimientos suficientes para ejercer profesionalmente de forma solvente. Adems conocers en detalle mi flujo de trabajo a la hora de afrontar un proyecto profesional. Para la realizacin de este curso no vas a necesitar el equipo informtico ms potente del mercado, ya que el software empleado durante formacin online se encuentra perfectamente optimizado y su uso es muy fluido en todo tipo de equipos, tanto en PC como en Mac.Puedes elegir ver todas las lecciones de forma secuencial (lineal) y aprovecharlas al mximo la formacin. Pero tambin puedes decidir ver este curso como una gua de referencia. Las clases estn claramente organizadas en secciones lgicas y puedes decidir visualizar solo las clases que te resulten ms importantes segn tus necesidades formativas. A excepcin de las lecciones PRO, la mayora de las lecciones son independientes para que puedas comprender los conceptos de cada leccin sin tener que ver las lecciones anteriores del curso.Aprende las Herramientas y Habilidades para tener ms Visibilidad en tu Desarrollo Profesional Es excepcional el aumento de visibilidad y clientes que podrs tener tras haber adquirido los conocimientos de esta formacin. Para desarrollar el programa formativo propuesto no ser requieren grandes conocimientos previos, ya que la formacin se acomete desde un nivel de usuario 0.Metodologa de Aprendizaje:Para desarrollar el programa formativo propuesto no ser requieren grandes conocimientos previos, ya que la formacin se acomete desde un nivel de usuario 0. El mster est orientado a aquellos creativos que quieran ampliar sus skills (habilidades) y conocer mltiples trucos, consejos, recursos y recomendaciones, de la mano de los diseadores lvaro Garca y Luca Fernndez. Adems todas las formaciones de Udemy disponen acceso automtico al contenido, sin limitacin de tiempo, disponibilidad 24/7 (24 horas al da los 7 das de la semana), sin caducidad y con garanta de devolucin del 100% de tu dinero durante los primeros 30 dasLa modalidad de este mster te permite que empieces y acabes cuando t quieras, marcando el ritmo de la clase segn tu disponibilidad. Puedes volver a visualizar lo que te interese, saltar el contenido que ya domines, hacer preguntas, resolver dudas, compartir tus proyectos...Recuerda que este mster global incluye lecciones en vdeo fullHD con audio de estudio (compatible con TV, PC, Mac, tablet y smartphone), artculos didcticos, actividades, proyectos paso a paso, recursos descargables, links de inters, acceso de por vida, certificado de finalizacin, tutorizacin online, y una exclusiva comunidad de aprendizaje privada que nos ayudamos aportando nuestras experiencias en el foro de comunicacin del curso.A qu esperas?, esta formacin es ideal para ti, atrvete a convertirte en un experto y expresa tus ideas y diseos de la forma que siempre has deseado. Adelante, nos vemos dentro de la formacin!"
Price: 19.99
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| "Adobe Photoshop CS3 Trke Kolay renim" |
"Sfrdan Adobe Photoshop CS3 renmeniz iin hazrlanm eitim seti. Bu Photoshop Dersleri ile; fotoraflar, grntleri istediimiz gibi deitirip istediimiz gibi ayarlamalar yapabileceksiniz hemde 1 saatte. rnein; arka plan deitirme, krmz gz sorunu giderme, yz birletirme gibi. ster hobi olarak kullanmaya devam edin, ister kendinizi gelitirip sinema, oyun, reklam, fotoraflk gibi sektrlerde i sahibi olun."
Price: 49.99
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| "200-710 Zend Certified Engineer Practice Test" |
"The Zend Certified PHP Engineer is an industry-wide standard that recognizes PHP expertise and is a measure of distinction that employers use to evaluate prospective employees. Join the thousands of PHP professionals who have received official certifications and be recognized for your PHP expertise.Hope this practice test will help you to pass"
Price: 19.99
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| "AWS Windows Workloads With Code Deploy" |
"In this course I show you how to set up an autoscaled windows environment behind a Load Balancer in AWS. Along the way, I also provide in depth coverage of intermediate topics like setting up AWS Networking, Load Balancers , Auto Scaling Groups and deploying code using the AWS Code Deploy Service.This course is an excellent path to experienced engineers coming from Azure or GCP to come to terms with AWS.I do not expect you to have any experience on AWS. I will guide you step by step, right from setting up a free AWS trial account to setting up your AWS CLI on your desk top. I intend to bring up AWS beginners to an intermediate AWS level on what I call a Web App pattern. This is an autoscaled EC2 load balanced environment with application code pushed to it via the code deploy service. The obvious question is why would you run windows workloads on AWS and not Azure? The most important reason is to make yourself invaluable to a plethora of Public, Financial and Corporations who have invested heavily in AWS. These organization have built their frameworks , architectures and wrapped their own security policies around AWS products, and when it comes to supporting Windows workloads, they would rather stick with AWS than starting with another cloud provider from grounds up. You would be surprised to know that AWS has an even higher market share of Windows than Microsoft. An IDC report shows that AWSs market share is almost double that of the nearest cloud provider. AWSs share of the windows market was 57.7 % of the total public Iaas market in 2017. AWS has a full featured suite of Windows Workload products. AWS supports everything you need to build and run Windows applications including Active Directory, .NET, System Center, Microsoft SQL Server, Visual Studio and Windows desktop-as-a-service.Please do join me in this course."
Price: 29.99
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| "AWS Certified Developer Associate Exam Questions - 2020" |
"AWS Certified Developer Associate 2020 Exam is one of the most sought after industry certification. This will give you credibility of understanding about AWS Services and how to implement. In this practice test, we will help you to pass your exam as long as you devout precious time to study this material. We will help you gain confidence that when you take your exam you are really prepared. Prior study is highly recommended to make sure that aside from passing, you can actually implement the AWS services.This practice test is to help you pass the AWS Certified Developer- Associate Certification 2020. 1. 4 SETS OF HIGH QUALITY PRACTICE TEST - questions were carefully prepared for you to understand the overall aspect of knowledge to pass the certification.2. NEAR THE ACTUAL EXAM SITUATIONS - there is no best way to prepare for the actual certification than making sure the difficulty of practice almost matched.3. SOME EXPLANATIONS TO THE ANSWERS AND LINKS - detailed explanations to some of the questions have been presented to make sure that you understand the concept not just the mere answer to the questions. This gives you broad knowledge whenever you encounter a similar exam question.4. UPDATED QUESTION BANK - we make sure to keep with the latest exam format based from the community feedback which help us to better prepare these practice test.5. ACCESS IN ANY MOBILE DEVICE6. UNLIMITED ACCESS TO THE EXAM QUESTIONS AND UPDATES"
Price: 19.99
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