How to place in the top 10% in Kaggle

We're so excited to host Rachel to talk about Kaggle, join us for an evening with other women in data.

Agenda:
6:00-6:10 - Meet and mingle with other women in data
6:10-6:15 - Intro/announcements
6:15-7:00 - How to place in the top 10% in Kaggle

Description:
What are the tips and tricks to consistently get into the top 10% on Kaggle international data competitions?

Learn insider tricks, such as how to "cheat" using the test data, how to select hyperparameters, whether you should use a tree boosting algorithm or the hot new neural network approaches, a rough guide to blending, how to do feature engineering and then choose the best feature set, how to launch yourself from the top 10% to a top-three finalist, and more!

We will also cover some basics in this 45 min talk -- the stuff I learned the hard way while doing the competitions -- so that you spend more of your time improving your score.

About:
Rachel Brenn has a doctorate degree in Electrical Engineering from the University of Washington. She was a postdoctoral researcher in neuroscience, applying machine learning algorithms to brain imaging and genetic data at UPenn in the Davatzikos group. Over the past seven years, she has competed in 11 Kaggle competitions and placed in the top 10% for 5 of those competitions. Most recently, she was CEO and chief data scientist at Aubergine, LLC, and provided financial data-driven solutions to select clientele. She has three children under the age of five.