This video explains early, iterative, and emergent identification.<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 the Scrum introduction and recap.<br<br/>/>

This clip is from the chapter "Scrum Master Training - Case Studies and Confessions" of the series "Agile Project Management".This section explains Scrum Master training.

This video explains how respect helps you to deliver on time.
<
br/>
This clip is from the chapter "Pro Tips for Meeting Project Deadline with Agile Project Management" of the series "Agile Project Management".This section explains...

This video explains avoiding carry over.<br<br/>/>

This clip is from the chapter "The Sprint Lifecycle: Daily Scrum, Sprint Review, and Retrospective" of the series "Agile Project Management".This section explains the sprint lifecycle.

This video explains how to update Epsilon value.
<
br/>
This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper...

This video explains training and evaluating the model.<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 training the RL model.
<
br/>
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...

This video explains about the target network and recap.<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 a solution video on Alpha.
<
br/>
This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and...

This video explains about screen transformation.<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 explains the implementation of SARSA.
<
br/>
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 explains the rules of the game.<br<br/>/>

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.

This is the first of the two-part video that helps you with the preparation for the interview.
<
br/>
This clip is from the chapter "Interview Prep" of the series "Reinforcement Learning and Deep RL Python (Theory and...

This video demonstrates plotting the Moving Avg.<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 explains the implementation of Moving Avg.<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 provides an introduction to Stable Baseline.
<
br/>
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...

This video provides an introduction to the project (cart pole).<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 provides an introduction to the module.
<
br/>
This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper...

This video provides an introduction to libraries and the project.
<
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...

This video provides an introduction and recap to the section.<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 explains implementing the Random solution.
<
br/>
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...

This is the first of the four-part video that explains implementing Frozen Lake.
<
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...

This video demonstrates the Frozen Lake rules.<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 first of the three-part video on the final structure implementation.
<
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...