What Are the Three Stages of Building a Model in Machine Learning?

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.