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Predict sales prices and practice feature engineering, RFs, and gradient boosting

This is data set will help top explore different techniques. It is a Kaggle competition to predict sale prices. 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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House Prices: Advanced Regression Techniques

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