📘 Context

This dataset contains housing data from the 1990 U.S. Census in California.
Each row represents a district with details like income, rooms, population, and location.
It helps in understanding how different factors affect house prices.

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📂 Source

Originally from the StatLib repository, later included in the Scikit-Learn library as fetch_california_housing.
Published by Pace, R. Kelley and Barry, R. Barry (1997) — Sparse Spatial Autoregressions.

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💡 Inspiration

• Predict median house prices using demographic and geographic data.
• Practice EDA, train-test split, and data scaling.
• Build and evaluate regression models like Linear Regression or Random Forest.