In this session, we will be using multiple series forecasting using a model to predict future values based on the previously observed values:
- ARIMA Model
- ARIMA Â is the Autoregressive Integrated Moving Average Model and is the most commonly used forecasting approach
- ETS Model
- ETS model uses Exponential Smoothing Method and is a commonly used forecasting approach based on a weighted average of past observations with the weights declining in size for more distant past values. In short, all past values are factored in the forecast although with decreasing importance as the values are further back in time.
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Speakers

Iravati Abhyankar
CRG Solutions

Kunal Mishra
(Certified Alteryx Partner, Designer Core and Designer
Advance, Certified Automation Anywhere Expert)
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