/California_Housing_Price_Prediction

This project aims to develop a linear regression model to predict housing prices in California using the California Housing dataset. The project explores the impact of feature selection and scaling on the model's performance, with a focus on improving the accuracy of price predictions.

Primary LanguagePythonMIT LicenseMIT

Stargazers