https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023

Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023
https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023

ax-va data-science deep-learning image-processing machine-learning neural-networks opencv opencv-python python pytorch scikit-learn

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Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023

• Host: GitHub
• URL: https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023
• Owner: ax-va
• Created: 2024-03-07T19:52:08.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-08-26T20:25:26.000Z (3 months ago)
• Last Synced: 2024-08-27T19:48:11.673Z (3 months ago)
• Topics: ax-va, data-science, deep-learning, image-processing, machine-learning, neural-networks, opencv, opencv-python, python, pytorch, scikit-learn
• Language: Python
• Homepage:
• Size: 49.6 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning Recipes in Python

Machine learning recipes in Python with **scikit-learn**, **OpenCV**, **PyTorch**, and other libraries, including classical machine learning and neural networks, based on the book *"Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning"*, Second Edition, by Kyle Gallatin and Chris Albon published by *O'Reilly Media* in 2023. 



  



My environment was Python 3.11 with the packages specified in the `requirements.txt` file.