The final project should include the following items: Find a business problem and define an analytical quesiton that can be tested and analyzed. Ideally, the analytical question should be predictive or diagnostic. Find a dataset, which can be used to answer your question. The dataset should have at least 100 rows, one target variable, and at least 3 features for supervised learning. It should have at least 100 rows and at least 3 features for clustering analysis. Determine the type of model based on the question (regression, classificaiton, clustering), and pick the best set of variables for your analysis. Do the analysis and conclude