/AnalyticsVidhya_Knocktober

Codes for the Knocktober competition on AnalyticsVidhya

Primary LanguagePython

AnalyticsVidhya_Knocktober

Codes for the Knocktober competition on AnalyticsVidhya

The main source file is our solution to the Knocktober competition hosted on Analytics Vidhya. Single run of XGB on 8 features (4 raw + 4 new) scores 0.8242 on public LB. A bag of 50 such models scores 0.8240. This model ranked #11 on public Leaderboard and 14th on private leaderboard.

Contributors: (Team Popeye For Olive)

  • Supreeth Manyam
  • Phani Srikanth

Requirements:

  • Python 2.7
  • Pandas, Numpy
  • XGBoost