Weather Forecasts vs Observations

Customers often ask us whether it’s best to use observed values or forecasted values as predictor candidates for model building process.

In this time for time series, we take a look at the answer to this question. We take you through a Jupyter notebook using TIM via the Python client to compare the use of weather forecasts with the use of weather observations.

 

 

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Time for Time Series dives into specific features and looks at general functionalities in TIM, as well as covering many topics related to time-series analysis. We welcome everyone, from managers to data scientists, to get to know TIM and to ask your questions to our experts during the live Q&A.