Best Selling Video Games

This project uses linear regression to predict sales of video games based on historical data and various game characteristics. The dataset contains information such as genre, platform, critic scores, and user ratings. Users can experiment with simple and multiple linear regression, polynomial regression, and regularization techniques to improve prediction accuracy.