3 docs tagged with "Estimation"

Various models were tried for this problem, with the exception of deep neural networks, since tensorflow and pytorch were forbidden for the project/competition.

To start with, I will use the RandomForest estimator and see how it does.

Now that we have the cleaned dataset with the appropriate features, we can finally perform forecasting. This forecasting is just regression, with the exception that train data must be sequential upto a date and test data must be the sequence following that.