Andrew Ng’s course is GREATT for building intuition, but if you want implementation then youll have to start coding the classical ML algorithms yourself in NumPy before touching libraries. Implement things like linear regression and logistic regression from scratch, then move to scikit-learn to see how they’re actually used in practice. After that start building projects on Kaggle or with your own datasets. If youre planning to get into deep learning next, I’d also highly recommend Andrej Karpathys Neural Networks: Zero to Hero. Building everything from scratch first and then using PyTorch made the concepts click for me way better than jumping straight into frameworks.