Kaggle: Hands On Machine Learning

Note: below is what we will return to once the pandemic is <BOLD>over</BOLD>. Until then, we are <BOLD>online only</BOLD>.

Not a tutorial session and will be not be led by anyone. We have consistently seen better results when people self-organize around common interests or skill levels. Guided materials are provided in Slack ask anyone to be added.

First Time Checklist:
- Bring a laptop or you won't have anything to do
- Public transportation / parking and finding us is part of the experience and a test of your intelligence
- Know python or start learning it
- Register for kaggle, unless you are more advanced and are networking
- Skim forums and code in the first project that people use to get acquainted https://www.kaggle.com/c/titanic
- Arrive, meet some people, find or start the table that will be doing titanic
- Later you can decide if you will engage in the weekly fast.ai conversations

More Settled In:
- Provide moral support and company during online independent study
- Start playing around in another kaggle competition and encourage others to join you
- Swap notes on good courses, academic programs, links for learning
- Apply code used in past kaggle competitions on a custom dataset that interests you
- Meet people working advanced side projects
- Already professionally established and learning something new

Some people will come and go, as they just want to see what all this "ai" buzz is about. There are also a handful of usual suspects, who are studying and working side projects - come and say "hi"!