Our house price prediction project begins with exploratory data analysis (EDA), visualizing housing data distributions and identifying correlations. We then employ algorithms like Random Forest and XGBoost for modeling, optimizing hyperparameters to enhance predictive accuracy, ensuring robust predictions for diverse real estate markets.
Our house price prediction project begins with exploratory data analysis (EDA), visualizing housing data distributions and identifying correlations. We then employ algorithms like Random Forest and XGBoost for modeling, optimizing hyperparameters to enhance predictive accuracy, ensuring robust predictions for diverse real estate markets.