I am new to ML and have started learning statistics (Descriptive, inferential, p-test, t-test, z-test and hypothesis) and wants to understand when we need to apply these tests i.e. in which phase, to check model performance, before running the model etc. It would be great if anyone can provide lifecycle of ML project (getting data, checking eligibility, running the model etc) so that I can get to know the flow.
Also, which statistical method is used to check if my data (sample, population) is eligible for testing or not.
Thanks in advance!