RFM analysis is a marketing technique that helps businesses segment their customers based on their purchase behavior. By understanding the different segments of their customer base, businesses can target their marketing campaigns more effectively.

The project is a study of machine learning algorithms, including classical algorithms such as linear regression, decision trees, regularized regression, and random forests. The project aims to predict house prices.

This project combines knowledge in the areas of data science, computer programming, and data visualization. This can be a valuable skill set for a variety of careers.