Skip to content

Latest commit

 

History

History
16 lines (10 loc) · 1000 Bytes

README.md

File metadata and controls

16 lines (10 loc) · 1000 Bytes

Rossmann Store Sales

Forecast sales using store, promotion and competitor data. Link to Kaggle Competition.

A complete list of models developed for this problem can be found here and the final report with a detailed explanation of our approach and observations is included here. Additionally, each model-name.py file includes a description of the assumptions made & features used for the model as well as the final RMSPE scores for the predictions (from Kaggle).

Team:

  1. Suyash Lakhotia (SuyashLakhotia)
  2. Prasanth Karthikeyan (prashnerd)
  3. Nikhil Venkatesh (nikv96)
  4. Rainy Sokhonn (rsokhonn)

Disclaimer: This repo is no longer maintained and was submitted as part of the course project for CZ 4041 Machine Learning at NTU in AY 16/17 Semester 2.