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.

Date Created 2019-06-11 (4 years ago)

Commits 10 (last one 4 years ago)

Stargazers 156 (2 this week)

Watchers 4 (0 this week)

Forks 64

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Ranking

RepositoryStats indexes 523,840 repositories, of these curiousily/Machine-Learning-from-Scratch is ranked #197,991 (62nd percentile) for total stargazers, and #351,116 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,497/14,471.

curiousily/Machine-Learning-from-Scratch is also tagged with popular topics, for these it's ranked: machine-learning (#3,543/7264), data-science (#1,018/1941), artificial-intelligence (#851/1777), reinforcement-learning (#541/1166), neural-networks (#355/668), book (#366/572), classification (#212/498), notebook (#148/256), machine-learning-algorithms (#124/248), sentiment-analysis (#96/234)

Other Information

Homepage URL: https://www.mlexpert.io/bootcamp

All Topics

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

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The only known language in this repository is Jupyter Notebook

updated: 2024-05-29 @ 01:30pm, id: 191438959 / R_kgDOC2kgbw