llSourcell/Learn_Machine_Learning_in_3_Months
A structured 3-month curriculum for learning machine learning and deep learning with links to external courses and tutorials.

This repository contains Siraj Raval’s curriculum for learning machine learning in 3 months. Month 1 covers foundational math (linear algebra, calculus, probability, algorithms). Month 2 introduces Python for data science, TensorFlow, and introductory ML. Month 3 focuses on deep learning through fast.ai and re-implementing deep learning projects. The curriculum links to YouTube videos, MIT OpenCourseWare, edX courses, and Udacity materials.