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

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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.

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