This is a repository of a university course project which contains the code for analyzing and predicting video game sales across different regions using various statistical and machine learning techniques.
- Data Preprocessing: Scripts for data cleaning and preparation.
- Random Forest: Random Forest model implementation for classification.
- Regressions code: Includes Ridge, Lasso, and Elastic Net regression models.
- Sensitive Analysis: Scripts for performing sensitivity analysis on the models.
Execute each script in a Python environment to perform the analysis.