Project information

Predictive Analytics for Residential Real Estate Pricing

In this project, we focused on predicting residential real estate prices using cleaned and well-organized data. We applied K-Nearest Neighbors (KNN) and Linear Regression models to estimate the sales prices of houses. Using these models, we successfully predicted the sales prices of a sample of 100 houses, demonstrating the effectiveness of our approach in utilizing machine learning for real estate price estimation.