We recommend that you start this assignment early to make sure you get all the basic setup out of the way first. Using a new course tool (Kaggle in this case) can sometimes be tricky and prone to technical difficulties on your end.
This assignment is due by Tuesday, July 30 at 11:59 pm.
Note: On Kaggle it lists the close date as two days after the due date listed here. This is intended since Kaggle does not support late submissions. The homework and your submission on Kaggle is due by the due date listed here, but you may use late days and turn it in late.
This assignment is different in that we will also be using Kaggle to evaluate the models you train. You can find the full instructions for assignment on Kaggle (described below). As a reminder from those instrutions, here are the things you should submit and where
You may submit any part of the assignment as many times as you want before the late cutoff (remember submitting after the due date will cost late days). Kaggle limits you to submitting 5 times a day (resetting at UTC 00:00) and submitting to it after the due date will count as submitting the assignment late.
Like before, you must submit a notebook that could be run to reproduce your results. Failure to submit the notebook that can train the model will result in a 0 for the programming portion of the assignment.
Remember to also submit your report as a PDF!
You can find the link to join our Kaggle competition here. Note that all instructions are on that page.