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Kaggle Machine Learning Challenger Day
January 22 @ 9:00 am - 9:00 pm
Data Science Initiative is partnering with Avanade to bring you a fantastic Kaggle Machine Learning Challenger Day. We invite you to join us on the 22nd of January at the Microsoft Reactor where you are invited to spend a day hacking on Kaggle competitions and creating innovative solutions to interesting Kaggle problems.
Join us for a full day of Machine Learning, social networking, food, drinks, innovative ideas, interesting visualizations and insights, and many more.
Learn through tackling some of the most interesting Kaggle challenges.
Network with other Data Scientists from all levels.
Meet top Data Scientists and hear from them on how they apply Data Science in real industry use cases
Have fun and be sure to make some new friends!
PLEASE AIM TO ARRIVE AT OR BEFORE 9:00 AM.
9:00 – 9:05 – Welcome
9:05 – 9:15 – Avanade Intro
9:15 – 9:30 – Group Formation
9:30 – 9:45 – Brief Intro to Kaggle
9:45 – 10:15 – Select Kaggle Challenge
10:15 – 13:00 Hack
13:00 – 13:30 – Lunch
13:30 – 16:30 – Hack
16:30 – 16:45 – Polish and Finalize
16:45 – 17:45 – Presentations
17:45 – 18:00 – Prizes
18:00 – 18:45 – Pizza, Drinks & Socialize
18:45 – 19:45 – Productionzing Machine Learning Models using Docker/Kubernetes and Azure – Fatos Ismali, Microsoft
19:45 – 20:30 – ML Talk – Speaker TBD
Datasets in addition to the ones provided by Kaggle:
“Awesome” Public Datasets:
Bureau of Labor Statistics:
UK Data Gov:
Microsoft Research Open Data:
NIH Clinical Center CT Images:
Open Data on AWS:
Quora list of datasets:
Stanford Large Network Dataset Collection https://snap.stanford.edu/data/index.html
Udacity Self-Driving Car dataset:
University of California – Irvine datasets: