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machine-learning-algorithms

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Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

Here are 14,908 public repositories matching this topic...

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  • Updated Nov 23, 2025
  • Jupyter Notebook
nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  • Updated Jul 3, 2024
  • Python

The "Python Machine Learning (1st edition)" book code repository and info resource

  • Updated Nov 20, 2024
  • Jupyter Notebook

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  • Updated Nov 28, 2025
  • Jupyter Notebook

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

  • Updated Nov 26, 2023
  • Jupyter Notebook

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

  • Updated May 7, 2024
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