House Price Prediction

I developed a Random Forest model achieving 89.75% R² accuracy with an average prediction error of ~$18,000 on housing data.

What I did in my project:

Analyzed 1,460 properties with 80+ features (size, rooms, year built, neighborhood, etc.)

Built correlation analysis to identify the strongest price predictors (overall quality, living area, garage capacity)

Created visualizations showing price trends by neighborhood and property features

Trained and evaluated multiple models to ensure reliable predictions

What I can deliver for you:

Clean, well-documented ML pipeline

Accurate predictions based on your specific dataset

Visual insights into what factors most affect prices

Ready-to-use model for new property valuations