https://github.com/jpcano/mini-batch-gradient-descent
https://github.com/jpcano/mini-batch-gradient-descent
Last synced: 19 days ago
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- Host: GitHub
- URL: https://github.com/jpcano/mini-batch-gradient-descent
- Owner: jpcano
- Created: 2024-12-21T11:14:25.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-12-21T18:20:44.000Z (5 months ago)
- Last Synced: 2025-02-17T06:42:04.585Z (4 months ago)
- Language: Jupyter Notebook
- Size: 146 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Mini Batch Gradient Descent
This notebook provides a detailed implementation of Mini Batch Gradient Descent with traditional regression methods and compares it with linear and polynomial regression using scikit-learn. I added a mathematical explanation of the Python code that implements the GD from scratch.
This project is based on the exercise 2.15 in the course "Introduction to Machine Learning with TensorFlow" from Udacity.