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Learn AI with Python · Lesson

ARIMA and SARIMA Models

AR, MA, I components, parameter selection with ACF/PACF, statsmodels ARIMA fitting.

What Is ARIMA?

ARIMA stands for AutoRegressive Integrated Moving Average. It models a stationary series using three parts: autoregression (p), integration/differencing (d), and a moving average of errors (q), written as ARIMA(p, d, q).

AR(p): Autoregressive

The AR term predicts the next value from a linear combination of its own p previous values. If today depends strongly on the last few days, you need a nonzero p.

Example: p=2 uses the two most recent observations as predictors.

All lessons in this course

  1. Time Series Components and Stationarity
  2. ARIMA and SARIMA Models
  3. Prophet for Automated Forecasting
  4. LSTM for Time Series Forecasting
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