This repository contains a Jupyter Notebook that demonstrates the process of building a simple linear regression model using Python's sklearn and statsmodels.api libraries. The notebook walks through each step of the modeling process, from data preparation to model evaluation, with well-commented code and explanations.
Simple_linear_regression_python.ipynb: A Jupyter Notebook file with detailed explanations and code to build and evaluate a simple linear regression model.csv: Contains the dataset used in the demonstration.
To run the Jupyter Notebook, ensure you have the following Python libraries installed:
pandasnumpymatplotlibsklearnstatsmodelsjupyter(to run the notebook)
Feel free to open issues or submit pull requests if you have suggestions or improvements. Contributions are welcome!
If you have any questions, please contact:
- Name: Akash Anandani
- Email: [email protected]
- GitHub: kashh56