Building a Classification Model with PyCaret
In this example, we're using the PyCaret library to train a classification model. First we initialize the setup for the dataset which in this case is the Titanic dataset. Then we compare different classification models, select the best one before training a final model. Lastly, we make predictions on the test dataset using the trained model.