Regression

This repository contains Python scripts for performing various regression techniques on a given dataset. The regression techniques included in this repository are:

• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Ridge Regression
• Lasso Regression
• Elastic Net Regression

Installation

1. Clone the repository: git clone https://github.com/KarimAhmed-dotcom/Regression.git
2. Navigate to the Regression directory: cd Regression

Usage

1. Import the necessary regression script from the regression module: from regression import simple_linear_regression
2. Load your data into a Pandas DataFrame.
3. Call the desired regression function with your data as input. For example: simple_linear_regression(X, y)
4. The function will return the regression model and its parameters, which can then be used for prediction or analysis.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any questitions contact me at [email protected]