97 Fails

97 – Fractal Analytics

LeaderBoard Rank 129/211


Goal is to find the severals items demands using their historical demands. For some items, they share some common category, sub-categorical info. Tricky part is not all items have simmilar historical data, some have 9 months data and while others have only few weeks of data and we have predict 60 days into future.

Issues I had

  • Lack of proper testing framework or model.
  • Lack of knowledge on Time-Series Models. Example ARIMA.
  • Lack of experience of time series modelling.

Learning Sources

Time Series Analysis

Python Pkgs

  • PyFlux Documentation: Simple tools immediately start working with Time Series Analysis.

  • statsmodel – tsa (time series analysis)


  • GitHub CookBook Resources