Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/jpcano/mini-batch-gradient-descent
https://github.com/jpcano/mini-batch-gradient-descent
Last synced: 9 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/jpcano/mini-batch-gradient-descent
- Owner: jpcano
- Created: 2024-12-21T11:14:25.000Z (13 days ago)
- Default Branch: main
- Last Pushed: 2024-12-21T15:59:58.000Z (13 days ago)
- Last Synced: 2024-12-21T16:42:28.657Z (13 days ago)
- Language: Jupyter Notebook
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
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.