Kaggle Otto Group Product Classification Challenge
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otto Set proper parameters for xgboost May 21, 2015
.gitignore Add code for building models and ensembling May 19, 2015
LICENSE Initial commit May 19, 2015
README.md Update position and number of teams after changes made by Kaggle May 31, 2015


Kaggle Otto Group Product Classification Challenge

Solution for achieving place 66th/3514 on private leaderboard.

It contains:

  • Neural Networks
  • XGBoost
  • Random Forest
  • SVM
  • Regularized Greedy Forest
  • Linear model

However only top four kind of algorithms were used to build final ensemble.

You can find more information on my blog.