This repo contains all notebooks, events, collaborations and other resource materials used for the 30 days of Machine Learning
Basic Arithmetics in Python, Variables and Data Types in Python, Data Structures, Conditional statements, Loops, and conditions
Introduction to libraries such as Pandas, Matplotlib, Seaborn, and Numpy