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I am new to competitions. I have gone through few Kaggle competitions and most of the time, they provide train data, test data and other supplementary data. Recently, I came across a new competition (not on Kaggle). They are providing 2 month weather data to predict those two month wind production. I confused, first they are providing weather data in XARRAY form, which I am unable to understand. I tried to use xarray.to_dataframe() but I am still stuck there. Right now I have two questions

  1. Is there any comprehensive tutorial or manual to use xarray in machine learning (I have already searched through internet)?
  2. What is required in that competition? I reckon they are asking to access how model fits on same data on which we are training the model.
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