In this video, we will cover foundations, data types, and representing data.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section,...

This video demonstrates training and testing the model.<br<br/>/>

This clip is from the chapter "Car Racing Game" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the car racing game.

In this video, you will learn how to apply Entropy by coding decision trees for machine learning.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of...

In this video, we will cover continuous distributions code.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, we will cover discrete distributions through code.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In...

This video is about playing with Docker commands – stats, system.
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This clip is from the chapter "Docker with Microservices Using Spring Boot and Spring Cloud – V2" of the series "Master Microservices with Spring Boot and...

In this video, we will cover dispersion exploration through code.
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This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...

In this video, we will cover the dependence and variance of two random variables.
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This clip is from the chapter "Visualization in Intuition Building" of the series "Probability / Statistics - The Foundations of Machine...

Learn the wc command. It provides an easy way to count the lines, words and characters in a file or in output from some other command.

In this video, we will cover expected values for decision-making through probabilities.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine...

In this video, you will learn how to visualize joint distributions - the road to ML success.
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This clip is from the chapter "Visualization in Intuition Building" of the series "Probability / Statistics - The Foundations of...

In this video, we will cover distributions for rationale and importance.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover quantifying events - random variables.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...

In this video, you will learn how to apply conditional probability - Bayes rule.
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This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover simulating coin flips for probability.
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This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, you will learn how to explore data types in code.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...

In this video, we will get started with coding.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will first set up our...

In this video, we will first set up the code environment and then have a quick Python crash course.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine...

The video discusses the process of counting outcomes for random events in probability. The lecturer provides examples and shows how to use the manual listing method and a sample space to determine the possible outcomes of events. The...

If you want or need to get a whole group of people (say students or faculty) to a web address to collaborate, view, or comment on a document (or anything that's online), this extension is the one you've been looking for! Check it out...

In this video, we will cover Entropy - the most important application of expected values.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover a case study for sleep analysis, structure, and code.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of...

In this video, we will cover two random variables with the help of an example.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover the rules for counting.<br<br/>/>

This clip is from the chapter "Counting" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, you will learn the rules for counting.