Machine-Learning-from-Scratch
curiousily
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.
Growth over time
8 data points · 2021-08-01 → 2025-07-01How do you feel about this project?
Ask AI about Machine-Learning-from-Scratch
Question copied to clipboardWhat is the curiousily/Machine-Learning-from-Scratch GitHub project? Description: "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.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
How to clone Machine-Learning-from-Scratch
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipFound an issue?
Report bugs or request features on the Machine-Learning-from-Scratch issue tracker:
Open GitHub Issues