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Kaggle Competition House Prices - Advanced Regression Techniques Predict sales prices and practice feature engineering, RFs, and gradient boosting

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House-Price-Prediction-using-advanced-regression-Kaggle-Project

Kaggle Competition House Prices - Advanced Regression Techniques Predict sales prices and practice feature engineering, RFs, and gradient boosting

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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Kaggle Competition House Prices - Advanced Regression Techniques Predict sales prices and practice feature engineering, RFs, and gradient boosting

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