This repository provides a minimal study plan for ML learners, starting with math fundamentals (calculus, linear algebra, statistics) and Python basics, then progressing through the ML tech stack including NumPy, Pandas, Matplotlib, Scikit-Learn, and TensorFlow. It recommends following Andrew Ng’s Machine Learning Specialization on Coursera and practicing via Kaggle competitions before specializing in areas like computer vision or NLP.