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Kaggle competition (zillow housing challenge)for predicting housing price log errors.Used feature selection, feature engineering, ensemble and stacked models

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visulaization ensemble-learning extra-trees-classifier seaborn matplotlib zillow-challenge kaggle-competition k-fold

zillow-challenge-kaggle's Introduction

CSE519-2017-111482836

Zillow challenge:

Data Science Assignment to predict log errors in Zillow Pricing

  • Used Ensembled models like Random Forest & xtra tree regressors
  • Performed k-fold cross validation & data imputation
  • Unsupervised learnign using clustering and
  • Finally tried model stacking methods

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