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
- Is there any comprehensive tutorial or manual to use
xarrayin machine learning (I have already searched through internet)?
- 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.