Time-Series-Forecasting

Fundamentally FORECASTING differ with PREDICTION so, it is really imporatant to understand the difference and application of it.

This repo is dedicated to give you a basic and progressive idea of time series forecasting. Please follow the below order while reading the notebooks.

Note: Please find "Time Series".pdf attachment for further reading...

1. introduction to time series

2. EWMA (exponential weighted moving averages)

3. holt-winters method

4. general forecatsing techniques

5. stationary and non-stationary (includes ACF & PACF)

6. ARIMA introduction (no code because ARIMA models are used at very specific conditions and it didn't suitable for real time data with different input attributes)

7. SARIMA part 1

8. SARIMAX part 2 (real time model because it deals with X (input attributes as well)

9. VAR (vector autoregression) model

10. VARMA (vector auto regression moving averages) model

11. Forecasting using RNNs (deep learning)