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milaan9 / Machine_Learning_Algorithms_from_Scratch

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This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

data-science machine-learning random-forest machine-learning-algorithms naive-bayes-classifier decision-trees fitting-algorithm dynamic-time-warping machine-learning-python singular-value-decomposition value-iteration-algorithm frequentist-methods error-functions gaussian-naive-bayes machine-learning-matlab python4datascience tutor-milaan9 matlab4datascience
  • Updated Dec 9, 2022
  • Jupyter Notebook

Miahy03 / Machine-Learning-Algorithms-From-Scratch

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🤖 Build a solid foundation in machine learning by implementing algorithms from scratch using Python and NumPy for clear understanding and practical skills.

python machine-learning tutorial deep-learning numpy deep-reinforcement-learning regression neural-networks classification implementation decision-trees unsupervised-learning from-scratch machine-learning-scratch singular-value-decomposition pyhton3 mlfromscratch matlab4datascience
  • Updated Nov 4, 2025
  • Python

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