The three stages of building a machine learning model are:
- Model Building
Choose a suitable algorithm for the model and train it according to the requirement - Model Testing
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.