Probability Basics

Abstract:

Probability distributions are fundamental in data science for purposes like building machine learning models, modeling uncertainty, and guiding informed decision-making. They define how the values of a set of random variables are distributed. Broadly, these distributions are classified into discrete and continuous types. Below is an overview of key probability distributions, along with their characteristics and common applications.