https://github.com/miozilla/classicsml

classicsml :cloud_with_lightning_and_rain::arrows_counterclockwise::chart_with_downwards_trend: : Classsic Supervised ML # Cost Function # Gradient Descent
https://github.com/miozilla/classicsml

azureml-py38 custom-linear-regressor learning-rates mse ols optimizer sad sml ssd statsmodels step-size temperature weather

Last synced: 21 days ago
JSON representation

classicsml :cloud_with_lightning_and_rain::arrows_counterclockwise::chart_with_downwards_trend: : Classsic Supervised ML # Cost Function # Gradient Descent

• Host: GitHub
• URL: https://github.com/miozilla/classicsml
• Owner: miozilla
• Created: 2025-09-11T14:58:21.000Z (24 days ago)
• Default Branch: main
• Last Pushed: 2025-09-11T15:42:48.000Z (24 days ago)
• Last Synced: 2025-09-11T18:25:10.742Z (24 days ago)
• Topics: azureml-py38, custom-linear-regressor, learning-rates, mse, ols, optimizer, sad, sml, ssd, statsmodels, step-size, temperature, weather
• Language: Jupyter Notebook
• Homepage:
• Size: 897 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# classicsml ⛈️🔄📉

classicsml : Classsic Supervised ML # Cost Function # Gradient Descent

## Objective

- Implement supervised learning

- Minimized error with cost function

  - SSD (sum of squared differences)

  - SAD (sum of absolute differences)

- Optimized model using gradient descent

  - OLS (ordinary least squares)   

- Experiment with learning rates (how they affect training)

## Classical ML models with Supervised Learning

![classicsml001.png](./media/classicsml001.png)

![classicsml002.png](./media/classicsml002.png)

![classicsml003.png](./media/classicsml003.png)

![classicsml004.png](./media/classicsml004.png)

![classicsml005.png](./media/classicsml005.png)

![classicsml006.png](./media/classicsml006.png)