Welcome to Regression-Models — a hands-on repository designed for practicing, exploring, and mastering various regression techniques using Jupyter Notebooks.
This repository offers a collection of regression models, ideal for learners, enthusiasts, and professionals who want to strengthen their understanding of machine learning’s foundational concepts.
- Regression Algorithms: Linear Regression, Polynomial Regression, Ridge, Lasso, and more.
- Data Preprocessing: Cleaning, feature engineering, and scaling practices.
- Visualization: Interactive plots for data and model performance.
- Evaluation Metrics: RMSE, MAE, R², and diagnostic plots.
- Step-by-Step Guides: Clear explanations and commented code for self-study.
- Jupyter Notebook (100%)
- Clone this repository:
git clone https://github.com/HammadAli08/Regression-Models.git - Launch Jupyter Notebook or JupyterLab.
- Open any notebook, run the cells, and learn by experimenting!
Contributions, suggestions, and feedback are always welcome!
Fork the repo, open an issue, or submit a pull request to help improve this toolbox.
Distributed under the MIT License.
“Models for Practice”
Happy learning and coding!