Question - What are the three stages of building the hypotheses or model in machine learning?
Answer -
There are three stages to build hypotheses or model in machine learning:
Model building
It chooses a suitable algorithm for the model and trains it according to the requirement of the problem.
Applying the model
It is responsible for checking the accuracy of the model through the test data.
Model testing
It performs the required changes after testing and apply the final model.