JerusML Hands-On sessions #2 -Feature Engineering and Winning at Kaggle

Please note that there is a limited number of spots available for this hands-on session, and you can sign up by filling out this online form. The JerusML team will return an answer to those who get accepted.
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Kaggle is one of the largest and most important online platforms in the machine learning world, and many of the world's leading data scientists and machine learning experts have competed in its competitions. It is a great way to get hands-on experience in machine learning, and this workshop will help you get started!
We'll begin with a talk about feature engineering, one of the most important skills for any data scientist. Afterwards, we'll split into teams and start working on an introductory Kaggle NLP competition - Natural Language Processing with Disaster Tweets! In this competition, participants are challenged to build a machine learning model that predicts which tweets are about real disasters and which ones aren’t.

Agenda:
18:00 - 18:15 — Mingling, etc.
18:15 - 18:30 — Greetings
18:30 - 19:30 — Talk
19:30 - 19:45 — Breaking into groups
19:45 - 20:00 — Introducing the competition
20:00 - 21:15 — Workshop

Your speaker and mentor for this session will be Dan Ofer, a PhD student with Dafna Shahaf and Michal Linial and a Senior Data Scientist at Medtronic. Among his exploits, he won first place in the WiDS-MIT 2020 Kaggle challenge. He'll speak about the most important skills needed in ML projects, and share from his experience with Kaggle competitions and machine learning in general.

If you're not there already, please sign up to Kaggle so that you'll have access to Kaggle Notebooks, which we'll use during the hands-on session. It's also recommended that you read the competition page and get at least a little familiar with the data before the workshop, as that will ease your first steps.