97 – Fractal Analytics
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.
Time Series Analysis
Econometrics – Ani Katchova: Ani, convers the most part of theoritical Knowledge to understand and have a quick start in Time-Series Analysis. No Code – Just Theory.
Econometrics Academy: A bit abractly conveys understanding of AR, MA, ARMA and ARIMA, a bit deeper understanding. No Py Code – Just Theory.
PyFlux Documentation: Simple tools immediately start working with Time Series Analysis.
statsmodel – tsa (time series analysis)
- GitHub CookBook Resources