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In the introduction/promo video (https://www.youtube.com/watch?v=s8Q_orF4tcI) you have mentioned that Catboost can analyse the time series historical data for weather forecasts.

But I was not able to find anything like this in tutorials: https://github.com/catboost/catboost/tree/master/catboost/tutorials

Nikita K
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Here are some examples of time series models using CatBoost (no affiliation):

  1. Kaggle: CatBoost - forget about time series
  2. Forecasting Time Series with Gradient Boosting

One thing I see around that I don't have first-hand knowledge of is using the has_time parameter to specify that the observations should be ordered (and not randomized) using a timestamp column.

K. Thorspear
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