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The objective of this code and project is to analyze Bay Area real estate data using Python. The goal is to clean, visualize, and analyze the data to gain insights into property prices and trends.

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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.

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The objective of this code and project is to analyze Bay Area real estate data using Python. The goal is to clean, visualize, and analyze the data to gain insights into property prices and trends.

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