ARIMA in Python how to Time Assortment Forecasting Piece 2(two) – Datamites Records Science Tasks

Quick simple tutorial on ARIMA time series forecasting in Python. Data :
Code (jupyter) :

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Time frame Group that 2(two) that Research Error

Time Series - 2 - Forecast Error

The second in a five-part series on time series data. In this video, I explain how to evaluate forecasting methods using various measures of forecasting error. The measures covered include:

– mean absolute error (MAE)
– mean square error (MSE)
– mean absolute percentage error (MAPE)
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