https://github.com/pranav-bot/ml-dl-models-from-scratch

This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
https://github.com/pranav-bot/ml-dl-models-from-scratch

deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm

Last synced: 2 months ago
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This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

• Host: GitHub
• URL: https://github.com/pranav-bot/ml-dl-models-from-scratch
• Owner: pranav-bot
• Created: 2022-08-04T11:51:19.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-03-06T13:32:47.000Z (over 2 years ago)
• Last Synced: 2025-04-09T14:41:33.257Z (about 1 year ago)
• Topics: deep-learning, descion-tree, from-scratch, linear-regression, logistic-regression, machine-learning, naive-bayes, neural-networks, numpy, perceptron, pytorch, qlearning, random-forest, regression, reinforcement-learning, support-vector-machines, svm
• Language: Java
• Homepage:
• Size: 8.69 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Support: SupportVectorMachines/Support Vector Machine.pdf

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README

          
# ML-models-from-scratch



This contains the most commonly used machine learning models written from scratch without the use if any libraries except Numpy which is used for calculations

Every model contains a test file on which the algorithim created is tested on various datasets

There are hand-written notes explaining every model in detail of how how it works and how mathematical equations fit into the picture