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 (5 years ago)

Commits 10 (last one 5 years ago)

Stargazers 169 (0 this week)

Watchers 4 (0 this week)

Forks 62

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Ranking

RepositoryStats indexes 589,134 repositories, of these curiousily/Machine-Learning-from-Scratch is ranked #202,643 (66th percentile) for total stargazers, and #374,926 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,751/17,281.

curiousily/Machine-Learning-from-Scratch is also tagged with popular topics, for these it's ranked: machine-learning (#3,645/7978), data-science (#1,041/2110), artificial-intelligence (#923/2080), reinforcement-learning (#564/1319), neural-networks (#357/721), book (#374/609), classification (#220/541), notebook (#156/279), machine-learning-algorithms (#127/276), sentiment-analysis (#94/248)

Other Information

Homepage URL: https://mlexpert.io

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: 2024-11-20 @ 01:35am, id: 191438959 / R_kgDOC2kgbw