Built an end-to-end Machine Learning pipeline to analyze housing features and predict real estate market prices
using Python, Pandas, and Scikit-Learn.
Performed data cleaning, outlier detection, feature correlation, and trained Multiple Linear Regression models
evaluated with R² Score metrics.