To begin with, why is it necessary to divide the data into training and validation sets? What is the training set going to be utilized for? The function of the validation set is still a mystery.

A data transformation might be as simple as a new representation of the data, or it could include a complex integration approach involving many different data sources. Should we take this assertion seriously and treat it as true or false?

What steps can you go through to ensure that you are including all of the necessary data in your model? How are the techniques of data modeling applied to problem statements?

Only by seeing how well a model performs on test data can its accuracy be determined. elaborate on; provide additional information about Explain?