This project implements a regression model to predict the value of logS based on various features.
To use this project, you will need to have Python and the following Python libraries installed:
- NumPy
- Pandas
- scikit-learn
- matplotlib
You can install these libraries using pip, as follows:
pip install numpy pandas scikit-learn matplotlib
Once you have installed the required libraries, you can run the Jupyter Notebook Regression_Model.ipynb
to train the regression model and generate predictions for new data.