The three stages of building a machine learning model are:
Choose a suitable algorithm for the model and train it according to the requirement
Check the accuracy of the model through the test data
Applying the Model
Make the required changes after testing and use the final model for real-time projects
Here, it’s important to remember that once in a while, the model needs to be checked to make sure it’s working correctly. It should be modified to make sure that it is up-to-date.