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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]