https://github.com/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.
https://github.com/curiousily/machine-learning-from-scratch

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

Last synced: 5 days ago
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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.

• Host: GitHub
• URL: https://github.com/curiousily/machine-learning-from-scratch
• Owner: curiousily
• License: mit
• Created: 2019-06-11T19:45:28.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-07-05T08:35:08.000Z (over 1 year ago)
• Last Synced: 2024-12-14T02:31:15.000Z (18 days ago)
• Topics: artificial-intelligence, book, classification, data-science, machine-learning, machine-learning-algorithms, neural-networks, notebook, recommender-systems, regression, reinforcement-learning, sentiment-analysis
• Language: Jupyter Notebook
• Homepage: https://mlexpert.io
• Size: 2.2 MB
• Stars: 170
• Watchers: 4
• Forks: 62
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
### Hands-On Machine Learning from Scratch

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



  



Read the book here