Comprehensive implementations of machine learning algorithms from scratch using NumPy and with popular libraries like scikit-learn. Detailed explanations cover mathematical concepts and practical examples to help understand the inner workings of these algorithms.

ML Algorithms From Scratch

Dev Squad

A thorough collection of machine learning algorithms, each implemented from scratch using NumPy and with popular libraries like scikit-learn. The repository includes detailed explanations, mathematical concepts, and practical examples to aid comprehension.

A machine learning library for Python built on NumPy, SciPy, and matplotlib, providing simple and efficient tools for data mining and data analysis. Readers can learn about scikit-learn's algorithms, preprocessing techniques, model evaluation metrics, and pipelines for building and deploying machine learning models.

Best of Scikit — January 2025