Skip to content

Latest commit

 

History

History
6 lines (2 loc) · 480 Bytes

File metadata and controls

6 lines (2 loc) · 480 Bytes

Bay Area Real Estate Price and Trend The project involved analyzing Bay Area real estate data using Python. We cleaned, visualized, and engineered features from the data. Predictive models including Linear Regression and Decision Tree Regression were trained and evaluated. Insights into property prices and trends were derived, with recommendations for further analysis provided. Overall, Python facilitated comprehensive exploration and modeling of the real estate dataset.