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Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Libraries and Project
This video provides an introduction to libraries and the project. This clip is from the chapter "Trading Bot RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Trading Bot RL.
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Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Random Solution
This video explains implementing the Random solution. This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Naive Random solution.
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Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Frozen Lake - 1
This is the first of the four-part video that explains implementing Frozen Lake. This clip is from the chapter "RL-Based Q-Learning" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on...
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Reinforcement Learning and Deep RL Python Theory and Projects - Callbacks and Early Stopping
This video explains about callbacks and early stopping. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
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Reinforcement Learning and Deep RL Python Theory and Projects - Automatic Differentiation PyTorch
This video explains automatic differentiation in PyTorch. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...
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PEP8 Guidelines Python Clean Coding - PEP 8 Imports and Dunder Names
This video explains PEP 8 imports and dunder names. 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.
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PEP8 Guidelines Python Clean Coding - Exceptions, Global and Local Variables
This video explains exceptions, global and local variables. 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.
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Machine Learning Random Forest with Python from Scratch - Importing Data, Helper Functions
Before creating a decision tree, we will first learn to import our dataset using Pandas. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from Scratch©".This section...
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Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - SAS Studio/SAS OnDemand for Academics – Register, Upload, Run Code
This video helps you with SAS Studio/SAS OnDemand for academics. You will register, upload, and run code using SAS studio. This clip is from the chapter "Introduction to the Course" of the series "Complete SAS Programming Guide - Learn...
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Data Science and Machine Learning (Theory and Projects) A to Z - Bokeh for Interactive Plotting: Bokeh Multiplots Markers
In this video, we will cover Bokeh Multiplots Markers. 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 and Projects)...
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AWS Cloud Development Kit - From Beginner to Professional - Import Pre-Existing CloudFormation Templates into CDK
This video explains how to import pre-existing CloudFormation templates into CDK. 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...
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AWS Cloud Development Kit - From Beginner to Professional - DynamoDB: Key-Value Database
This video explains DynamoDB: key-value database. 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, you will...
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AWS Cloud Development Kit - From Beginner to Professional - Create SNS Topic and Subscriptions
This video explains how to create SNS topics and subscriptions. 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 introduced to...
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AWS Cloud Development Kit - From Beginner to Professional - Create AWS SSM Parameter and AWS Secrets
This video explains how to create AWS SSM parameters and AWS Secrets. 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...
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Fundamentals of Machine Learning - Decision Tree
This video explains a lab session on a decision tree, getting dependencies, and how to create mock data. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
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Business Intelligence with Microsoft Power BI - with Material - Inserting Images in Power BI
This video demonstrates how to insert images in Power BI. 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 focuses on...
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Learn Java Unit Testing with JUnit 5 in 20 Steps - Step 11 - Basics of Parameterized tests
JUnit 5: Step 11 - Basics of Parameterized tests 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 overview of the...
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Learn Java Unit Testing with JUnit 5 in 20 Steps - Step 07 - Setting up data for every test - @BeforeEach, @AfterEach
JUnit 5: Step 07 - Setting up data for every test - @BeforeEach, @AfterEach 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Automatic Differentiation PyTorch
In this video, we will cover automatic differentiation PyTorch. 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 Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Bernulli Trail Python Practice
In this video, we will cover Bernulli Trail Python practice. 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 Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation: Pandas Practice-Using COVID19 Data - Part 1
In this video, we will cover Pandas practice-using COVID19 data -part 1. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - Neural Style Transfer: Implementation TensorFlow Hub
In this video, we will cover implementation TensorFlow Hub. 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 Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib, Seaborn, and Bokeh for Data Visualization: Seaborn Versus Matplotlib Style
In this video, we will cover Seaborn versus Matplotlib Style. 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 Projects) A to...
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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
In this video, we will cover Pipeline in Scikit-Learn for machine learning project. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A...