Skip to content

Latest commit

 

History

History
10 lines (9 loc) · 478 Bytes

README.md

File metadata and controls

10 lines (9 loc) · 478 Bytes

Google-Colab-4

Arima is a simple example of implemention of Autoregressive Integrated Moving Average Model (ARIMA) in Python, training it on past sine wave data of 4 pi and then making prediction of future 4 pi. Steps are as follows.

  • Pip install Pyramid ARIMA.
  • Import pandas, numpy, matplotlib.pyplot and pmdamira.
  • Create 4 pi sine wave data.
  • Create auto_arima model.
  • Train auto_arima model on 4 pi sine wave data.
  • Predict future 4 pi data.
  • Verify predictions.