Machine Learning, Scikit Learn, Python, Supervised Learning, Data Science.
model.predict(X) It should be noted that the hyperparameters for each model are different and have to be set. The second step in sklearn supervised learning is to train the model on the datasets X and y. In general, to train our model, we use the “fit” method ( model.fit(X, y) ) in which we can