I put together a Kaggle competition starter pack for a competition that is currently under way - Quick, Draw! There are still six more weeks before it finishes so that is plenty of time to play around.
You can find the starter pack on github here.
The competition has a lot of good things going for it. First of all, there do not seem to be any issues with the data. It is also one of the unusual competitions where you can let your imagination run wild - many, many different models can be useful here, potentially including RNNs. Given the submission format it should also be really easy to come up with some interesting way to ensemble the data - might be a fun thing to work on in a group.
If you have any starter code or competition related questions - please go to the thread on Kaggle forums and let’s please discuss it there. This way others who might have a similar question could also benefit. Same goes for sharing code - if there is any competition related code you would like to share, please do it in the open - sharing privately is against competition rules.
Enjoy and beware - these competitions can be addictive
PS. I have not made any references to class materials as to not share links before MOOC launch. The training notebook is based line for line on the lesson 1 lecture nb. Hope Jeremy will forgive me for the lack of proper attribution this time around.