Question

Explain the three stages to build the hypotheses or model in machine learning.

Answer 1

A machine learning model which is can be a mathematical representation of a real-world process. The learning algorithm finds patterns in the training data which is that the input parameters correspond to the target. The output of the training process is a machine learning model which is can use to make predictions.

The three stages of building the hypotheses or model in machine learning:

•   Data set preparation which is the foundation for any machine learning.
•  The project implementation is complex and involves data collection selection.
• The pre-processing and transformation.