When training a machine learning (ML) algorithm, why are larger training sets considered better? A) more data means B) more data mean more confusion C) more data means less accuracy D) more data means greater accuracy

For the final project, you address some questions that interest you with the statistical methodology we learn in statistics 201( Elementery statics 13th e) . you choose the question; you decide how to collect data; you do the analyses. The questions can address almost any topic, including topics in psycholgy, sociology, antural science, medicine, public policy, sports, law, etc, The final project requires you to synthesize all the material from the course. Hence, it's one of the best ways to solidify your understanding of statistical methods.

Is it possible to explain the difference between an incremental and an iterative approach?

Explain your machine learning model choice using examples.