The 240-item encoded data was split into a 200-item set of training data to create a prediction model and a 40-item set of test data to evaluate the model. Installing Python and LightGBM To use the ...

Automated Question Classification. We are going to use the exact same process and model, but on a different dataset which will enable us to do something more powerful: learn to classify questions ...

Keras is a code library that provides a relatively easy-to-use Python language interface to the relatively difficult-to-use ... After loading the training dataset into memory, the test dataset is ...