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House Price Prediction

Overview

Real estate market has interesting stories and events. This is the supervised learning project to accurately predict the house price given the features.

Dataset

Kaggle House Prices dataset, https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/overview. The dataset has 81 features that cover a wide range of attributes like square footage, neighborhood, quality of materials, and many more features.

Model

XGBoost algorithm, a decision-tree-based ensemble machine learning algorithm that employs a gradient boosting framework. Known for its high performance and flexibility, XGBoost is particularly adept at handling a large number of features, making it suitable for our diverse dataset.

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