GitHub / curiousily / Machine-Learning-from-Scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/curiousily%2FMachine-Learning-from-Scratch

Topics: artificial-intelligence, book, classification, data-science, machine-learning, machine-learning-algorithms, neural-networks, notebook, recommender-systems, regression, reinforcement-learning, sentiment-analysis

Funding links: https://github.com/sponsors/curiousily

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