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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.

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