Exploratory Data Analysis (EDA) and Multiple Linear Regression project using the California Housing dataset.

• main.py: Main script to execute the full pipeline.
• data_loading.py: Loads the dataset.
• preprocessing.py: Handles null values and data cleaning.
• feature_engineering.py: Creates new variables.
• correlation_analysis.py: Performs correlation analysis.
• visualizations.py: Generates visual charts.
• model.py: Trains and evaluates the regression model.
• figures/: Automatically saved plots and visualizations.

• Variable engineering
• Correlation heatmap
• Multiple Linear Regression model
• Modular, clean, and well-commented code
• Step-by-step logging messages

• Model: Multiple Linear Regression
• Selected features:
  median_income, housing_median_age, rooms_per_household, bedrooms_per_room
• MSE: ~4.99e9
• RMSE: ~70,642

1. Install dependencies:

   pip install -r requirements.txt