Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Bernulli Random Variables

The video introduces random variables, focusing on discrete random variables and the probability mass function (PMF). It explains the concept of countable values and provides examples, including the sum of dice rolls and coin tosses. The video also introduces the Bernoulli random variable, highlighting its simplicity and applications in logistic regression. The PMF is described as a probability model for discrete variables, adhering to probability laws and axioms.

How does the probability mass function assign probabilities to random variables?

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What is the significance of the sample space in relation to random variables?

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How can the outcomes of a coin toss be represented as a random variable?

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What happens to the probabilities if a coin is biased?

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