Welcome to the course. This is a quick introduction video to the course.
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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...

In this video, we will cover the foundations of Bayesian inference.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, we will cover the application of the Bayes rule in a real-world example for spam detection.
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This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The...

In this video, we will cover Bayesian inference code through PyMC3.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, we will cover dispersion and spread in data, variance, standard deviation.
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This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In...

In this video, we will cover one-hot vector encoding.
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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...

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 explains histograms and normal approximation.
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This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business...

In addition to summary statistics, data visualization helps to understand the data characteristics and how different variables are related.There are many examples of data visualization with Matplotlib, Seaborn, and...

In this video, the author demonstrates the installation of Python in Linux OS.
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This clip is from the chapter "Introduction" of the series "Practical Python: Learn Python Basics Step by Step- Python 3".In this section, the...

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...

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...

In this video, we will cover discriminative versus generative learning.
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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...

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...