Forums

Full Version: What Are the Three Stages of Building a Model in Machine Learning
You're currently viewing a stripped down version of our content. View the full version with proper formatting.
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