This video provides a brief description of the various projects we will be building together.
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This clip is from the chapter "Introduction" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".Welcome to the...

Learn how to break larger projects down into more do-able and more schedule-able chunks.

This video provides an introduction to SARSA.
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This clip is from the chapter "SARSA (State–Action–Reward–State–Action)" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on...

This video provides an introduction to Gym.<br<br/>/>

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 RL-based Q-Learning.

This is the third of the three-part video that explains implementing Q-Learning.
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This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This...

This video provides an introduction to the section.
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This clip is from the chapter "Terminologies of RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the terminologies...

This video demonstrates the implementation of Experience.<br<br/>/>

This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.

This is an exercise video on the Loss function in DNN.
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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...

This video concludes the section.<br<br/>/>

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 RL-based Q-Learning.

This video explains collecting requirements.<br<br/>/>

This clip is from the chapter "Project Scope Management" of the series "PMP® Certification Training".This section explains project scope management.

This video is a case study on the challenges you face if you don’t have a project management policy in place.
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This clip is from the chapter "Case Studies" of the series "PMP® Certification Training".This section explains...

This video explains Prompt List, Interview, Brainstorm, and Delphi technique.<br<br/>/>

This clip is from the chapter "Identify Risks" of the series "PMI-RMP® Certification Training".This section explains identifying risks.

This video explains project delivery with Agile Scrum.
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This clip is from the chapter "Project Delivery with Project Management Essentials" of the series "Agile Project Management".This section explains Agile Scrum project...

This video provides an overview of the course.
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This clip is from the chapter "Introduction to the Course" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section provides an introduction to...

This video explains Figma and why it is better than other design programs.
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This clip is from the chapter "Introduction to the Course" of the series "Figma for UI/UX: Master Web Design in Figma".This section provides an...

This video explains the further steps.<br<br/>/>

This clip is from the chapter "Conclusion" of the series "Arduino for Beginners - 2022 Complete Course".This section wraps up the course.

This video explains about the Raspberry Pi and its applications.
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This clip is from the chapter "Introduction to the Course" of the series "Raspberry Pi for Beginners - 2022 Complete Course".This section provides an...

This video briefly outlines the course and introduces Scrum and the benefits of using Scrum in a project.
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This clip is from the chapter "Introduction" of the series "Agile Scrum Master Certification Exam Prep (CSM)".This...

This video demonstrates the implementation of replay memory.<br<br/>/>

This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.

This video talks about random actions.<br<br/>/>

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.

This video explains about the Q-Learning and Q-Table theory.
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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...

This video talks about the pros and cons of SARSA.
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This clip is from the chapter "SARSA (State–Action–Reward–State–Action)" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...

This video demonstrates about the policy and plan.
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This clip is from the chapter "Terminologies of RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the terminologies...

This video explains the limitations of RL.
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This clip is from the chapter "Motivation and Applications" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the motivation and...