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[Competition on Kaggle] - Predict sales prices and practice feature engineering, RFs, and gradient boosting

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House Prices - Advanced Regression Techniques

[Competition on Kaggle] - Predict sales prices and practice feature engineering, RFs, and gradient boosting

Link competition: https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques

Link my profile kaggle: https://www.kaggle.com/nguyenthicamlai

Competition Description

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.

With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

Practice Skills

Creative feature engineering

Advanced regression techniques like random forest and gradient boosting

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[Competition on Kaggle] - Predict sales prices and practice feature engineering, RFs, and gradient boosting

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