This post explores the foundations of probability, including joint, marginal, and conditional probabilities using real-world examples like the Titanic dataset. We break down Bayes' Theorem and explain the intuition behind conditional probability, making complex ideas easy to grasp.

Dive into the world of probability with Part 1 of this blog series, where we lay the foundation for understanding uncertainty in everyday events. From basic definitions to real-life examples, we break down core concepts like sample space, events, and types of probability in the simplest terms. Ideal for beginners and revision before exams!