ML-From-Scratch
The project provides Python-based implementations of key machine learning models, focusing on transparent explanations over optimization. Explore examples like Polynomial Regression and CNN Classification. It includes supervised, unsupervised, reinforcement, and deep learning approaches, offering a thorough guide for foundational machine learning exploration.
