Skip to content

eugeneyan/kaggle_springleaf

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Kaggle Springleaf Marketing Response Challenge

Code for 75th place (out of 2,225) in Kaggle Springleaf Marketing Response Challenge (private leaderboard).

Feature engineering (not all are used in final ensemble)

  • Derived the following from date columns
    • Year
    • Month
    • Day
    • Quarter
    • Day of Year
    • Week of Year
    • Day of Week
    • Week of Month
    • Hour of day (for one variable)
  • One-Hot Encoding for variables likely to be categorical variables

Models

  • XGBoost

Software

  • Python 2.7
  • Python libraries:
    • Pandas
    • Xgboost
    • numpy

About

Code for Kaggle Springleaf Email Prediction Challenge

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages