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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.

Agenda

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:
https://github.com/caesar0301/awesome-public-datasets

Bureau of Labor Statistics:
https://www.bls.gov/data/

Data.gov:
https://www.data.gov/

UK Data Gov:
https://data.gov.uk/

HealthData.gov:
https://www.healthdata.gov/

Kaggle Datasets:
https://www.kaggle.com/datasets

Microsoft Research Open Data:
https://msropendata.com/

Natural Questions:
https://ai.google.com/research/NaturalQuestions

NIH Clinical Center CT Images:
https://www.nih.gov/news-events/news-releases/nih-clinical-center-releases-dataset-32000-ct-images

Open Data on AWS:
https://registry.opendata.aws/

Open Images https://storage.googleapis.com/openimages/web/index.html

Open ML:
https://www.openml.org/search?type=data

Quora list of datasets:
https://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public

Stanford Large Network Dataset Collection https://snap.stanford.edu/data/index.html

Udacity Self-Driving Car dataset:
https://github.com/udacity/self-driving-car

University of California – Irvine datasets:
http://archive.ics.uci.edu/ml/

USAFACTS:
https://usafacts.org/

Details

Date:
January 22
Time:
9:00 am - 9:00 pm
Website:
https://www.meetup.com/Data-Science-Initiative/events/265104280/

Venue

The Microsoft Reactor London
70 Wilson St
London, gb
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