axaysd / california_housing_price_prediction Goto Github PK
View Code? Open in Web Editor NEWThis Python notebook demonstrates the process of predicting median house price values using the California housing dataset. It uses Linear Regression, Random Forest to build predictive models. Additionally, it also uses Scaling and Hyperparameter tuning using RandomizedSearchCV to achieve better results.