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.

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.