In the House Pricing Prediction project, I was responsible for predicting house prices
using housing dataset features. Performed data cleaning and categorical encoding to
prepare the data for modeling.
Implemented linear regression to capture the relationship between property features and prices.
The project utilized Python, Pandas, NumPy, Scikit-learn, and Matplotlib,
showing that location, square footage,
and number of bedrooms are key price drivers.
