Instructional Video10:38
Curated Video

PEP8 Guidelines Python Clean Coding - PEP 8 Imports and Dunder Names

Higher Ed
This video explains PEP 8 imports and dunder names.<br<br/>/>

This clip is from the chapter "PEP 8 Code Layout" of the series "PEP8 Guidelines: Python Clean Coding".This section explains the PEP8 code layout.
Instructional Video8:43
Curated Video

PEP8 Guidelines Python Clean Coding - Exceptions, Global and Local Variables

Higher Ed
This video explains exceptions, global and local variables.<br<br/>/>

This clip is from the chapter "Naming Conventions" of the series "PEP8 Guidelines: Python Clean Coding".This section explains the various naming conventions in Python.
Instructional Video11:42
Curated Video

Machine Learning Random Forest with Python from Scratch - Importing Data, Helper Functions

Higher Ed
Before creating a decision tree, we will first learn to import our dataset using Pandas.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
Instructional Video6:58
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Bokeh for Interactive Plotting: Bokeh Multiplots Markers

Higher Ed
In this video, we will cover Bokeh Multiplots Markers.
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This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory...
Instructional Video7:50
Curated Video

Fundamentals of Machine Learning - Decision Tree

Higher Ed
This video explains a lab session on a decision tree, getting dependencies, and how to create mock data.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various...
Instructional Video5:51
Curated Video

AWS Cloud Development Kit - From Beginner to Professional - Import Pre-Existing CloudFormation Templates into CDK

Higher Ed
This video explains how to import pre-existing CloudFormation templates into CDK.
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This clip is from the chapter "Customize AWS Resources" of the series "AWS Cloud Development Kit - From Beginner to Professional".In this...
Instructional Video4:18
Curated Video

AWS Cloud Development Kit - From Beginner to Professional - DynamoDB: Key-Value Database

Higher Ed
This video explains DynamoDB: key-value database.
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This clip is from the chapter "Create and Deploy Serverless Application Resources" of the series "AWS Cloud Development Kit - From Beginner to Professional".In this section,...
Instructional Video4:26
Curated Video

AWS Cloud Development Kit - From Beginner to Professional - Create SNS Topic and Subscriptions

Higher Ed
This video explains how to create SNS topics and subscriptions.
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This clip is from the chapter "Customize AWS Resources" of the series "AWS Cloud Development Kit - From Beginner to Professional".In this section, you will be...
Instructional Video13:16
Curated Video

AWS Cloud Development Kit - From Beginner to Professional - Create AWS SSM Parameter and AWS Secrets

Higher Ed
This video explains how to create AWS SSM parameters and AWS Secrets.
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This clip is from the chapter "Customize AWS Resources" of the series "AWS Cloud Development Kit - From Beginner to Professional".In this section, you will...
Instructional Video13:54
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - SAS Studio/SAS OnDemand for Academics – Register, Upload, Run Code

Higher Ed
This video helps you with SAS Studio/SAS OnDemand for academics. You will register, upload, and run code using SAS studio.
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This clip is from the chapter "Introduction to the Course" of the series "Complete SAS Programming...
Instructional Video3:24
Curated Video

Business Intelligence with Microsoft Power BI - with Material - Inserting Images in Power BI

Higher Ed
This video demonstrates how to insert images in Power BI.
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This clip is from the chapter "Power BI Objects, Bookmarks, and Actions" of the series "Business Intelligence with Microsoft Power BI - with Material".This section...
Instructional Video4:29
Curated Video

Learn Java Unit Testing with JUnit 5 in 20 Steps - Step 11 - Basics of Parameterized tests

Higher Ed
JUnit 5: Step 11 - Basics of Parameterized tests
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This clip is from the chapter "JUnit 5" of the series "Learn Java Unit Testing with JUnit 5 in 20 Steps".This section firstly introduces you to the course and gives you an...
Instructional Video5:22
Curated Video

Learn Java Unit Testing with JUnit 5 in 20 Steps - Step 07 - Setting up data for every test - @BeforeEach, @AfterEach

Higher Ed
JUnit 5: Step 07 - Setting up data for every test - @BeforeEach, @AfterEach
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This clip is from the chapter "JUnit 5" of the series "Learn Java Unit Testing with JUnit 5 in 20 Steps".This section firstly introduces you to the...
Instructional Video15:28
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Bernulli Trail Python Practice

Higher Ed
In this video, we will cover Bernulli Trail Python practice.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video14:11
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation: Pandas Practice-Using COVID19 Data - Part 1

Higher Ed
In this video, we will cover Pandas practice-using COVID19 data -part 1.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning...
Instructional Video8:45
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Neural Style Transfer: Implementation TensorFlow Hub

Higher Ed
In this video, we will cover implementation TensorFlow Hub.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video5:33
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib, Seaborn, and Bokeh for Data Visualization: Seaborn Versus Matplotlib Style

Higher Ed
In this video, we will cover Seaborn versus Matplotlib Style.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...
Instructional Video11:38
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Hands-on Machine Learning Project Using Scikit-Learn: Pipeline in Scikit-Learn for Machine Learning Project

Higher Ed
In this video, we will cover Pipeline in Scikit-Learn for machine learning project.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and...
Instructional Video5:30
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Marking Facial Features

Higher Ed
In this video, we will cover marking facial features.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video7:37
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Automatic Differentiation PyTorch New

Higher Ed
In this video, we will cover automatic differentiation PyTorch New.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Instructional Video8:26
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Automatic Differentiation PyTorch

Higher Ed
In this video, we will cover automatic differentiation PyTorch.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video6:34
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Categorical Features Python

Higher Ed
In this video, we will cover categorical features of Python.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Instructional Video6:05
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Classification Practice with Python

Higher Ed
In this video, we will cover classification practice with Python.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video16:01
Curated Video

Selenium WebDriver with Java - Basics to Advanced and Frameworks - Importance of Assertions in Automation Testing and How to Use Them

Higher Ed
This video discusses the importance of assertions in automation testing, and explains how to use them.
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This clip is from the chapter "Selenium WebDriver: Techniques to Automate Web Elements" of the series "Selenium...