Finalizing and Serializing the Model
Understand how to finalize machine learning models by training on the full dataset, then serialize and save them using Python's pickle library. Learn how to reload saved models, make predictions on new data, and verify consistent evaluation results to prepare your linear regression model for practical deployment.
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, ...