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XGBoost for House Price Prediction by phani phaniii is a document available to read on EtoBox.

What is XGBoost for House Price Prediction about?

This document discusses predicting house prices using machine learning algorithms. It provides background on the importance of accurately predicting housing prices. The methodology section describes preprocessing a dataset from Boston, including feature engineering. It then discusses applying multiple regression algorithms like random forest, XGBoost, and linear regression to predict prices. Model performance is evaluated using metrics like R2. The goal is to determine the most accurate algorithm for house

Author

phani phaniii

Language

EN