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.

Interested in deeper understanding of Machine Learning algorithms? Implement them in Python from scratch:

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.github		.github
.gitignore		.gitignore
1_logistic_regression.ipynb		1_logistic_regression.ipynb
2_linear_regression.ipynb		2_linear_regression.ipynb
3_decision_trees.ipynb		3_decision_trees.ipynb
4_k_means.ipynb		4_k_means.ipynb
5_sentiment_analysis.ipynb		5_sentiment_analysis.ipynb
6_recommender_systems.ipynb		6_recommender_systems.ipynb
7_neural_nets.ipynb		7_neural_nets.ipynb
8_reinforcement_learning.ipynb		8_reinforcement_learning.ipynb
LICENSE		LICENSE
README.md		README.md

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