Finalizing and Serializing the Model
Learn about model training, evaluating, saving, and loading, and predicting new data.
Let's say that we have found an accurate machine learning model. We have finally trained our model on the complete dataset and are ready for delivery. This is amazing, but it's not the end of our project. We need to save our trained model.
Overview
After all our efforts (whole data science and machine learning pipeline, ...