HOUSING MARKET PREDICTION

This project focuses on predicting housing market trends using various machine learning algorithms. We employed regression models to predict housing prices based on features like location, size, and year built. The models were trained on historical data and evaluated using metrics such as RMSE and MAE to ensure accuracy and reliability.

Visualizations

Static Images

Distribution of House Prices:

Pairplot of Features vs Prices:

Animations

Distribution of House Prices GIF:

Pairplot of Features vs Prices GIF:

House Price Prediction: