README

• preprocess.py: data cleaning, feature engineering
• modelTraining.py: cross validation, submission generating, stacking preparing
• classifiers.py: my encapsulation of xgboost
• stack
  • StackNet.jar: stacking tools shared by KazAnova, repo is here
  • parse.py: tools for evaluate the cv scores during stacking.
  • utils.py: generating submission after StackNet
  • start.sh: commands for executing StackNet
  • params.txt: my params for stacking

links:

• Kaggle:Rental Listing Inquireies
• Summary of getting a silver medal in kaggle
• Kaggle 首战拿银总结 | 入门指导 (长文、干货） -- 知乎专栏
• AI Challenge 分享会PPT