Working with your learning team, revisit the Advanced Insurance case. Using the Training data, generative AI resources of your choice, and the visualizations we explored for class 12, build the best model you can to predict the missing premiums in the Test Data. Submit your predictions for the missing premiums on Kaggle by 11:59 PM on Sunday evening. You should come to class on Monday prepared to discuss your model and approach.

When you submit a set of predictions, you will get feedback on your model in the form of the RMSE (root mean squared error). The smaller the error, the better!

You are welcome to use ANY technology to complete this task. In fact, non-excel tech is encouraged -- have fun with it!  Please be prepared to share if/how generative AI was helpful. If you use non-excel tools for your analysis (e.g., python, R, etc.), we would love for you to demonstrate your approach in class. (All such tools are enrichment and, for the avoidance of doubt, will not be necessary on the exam).