Kaggle hackathon (register via EventBrite)

May 5, 2018 · London, United Kingdom

• What we'll do
Hello All Data Hackers

It's time again for a Kaggle hackathon which will be held on Saturday May 5th. The hackathon allows data enthusiasts to come together to form teams and work on Kaggle competitions. Please register for the day via the event page on Eventbrite (https://www.eventbrite.co.uk/e/london-kaggle-hackathon-tickets-45117673175).

A massive thank you to comparethemarket.com (https://joinus.comparethemarket.com) who are hosting the event at their offices (https://www.google.co.uk/maps/place/BGL+Group/@51.5252813,-0.0901586,17.06z/data=!4m5!3m4!1s0x48761caf548d34d3:0x5b550748e469d0a8!8m2!3d51.5252421!4d-0.0879439).

Also, a big thank you to H2O.ai (http://www.h2o.ai/) who have kindly agreed to provide us with the all important pizza for the day.

If you want to see what competitions are currently available, check them out here (https://www.kaggle.com/competitions). If you are a complete novice check out the Titanic (https://www.kaggle.com/c/titanic) tutorials -- there will be a Kaggle 101 group during the hackathon where this is often explored.

All levels from complete novices to experienced data scientists are welcome at the meetup.

A rough agenda will be as follows:

• Arrive and form teams to start hacking away at Kaggle competitions

• Break for lunch around 1pm

• Start hacking again!

• Lightning talks from 5pm.

We look forward to seeing you there.

- London Data Science workshop organisers

• What to bring
Laptop with an R and / or Python environment.

• Important to know
Please ensure your full name is recognisable from your meetup login.

Event organizers
  • London Data Science Workshop (formerly London Kaggle Meetup)

    This is a group for anyone interested in collaborating with other data hackers on data science projects.  The goals are to get data and programming enthusiasts together, form groups and work on interesting problems or even just discuss the latest tools & techniques available to the data science community. These will be accomplished by holding regular coding dojos in R and Python, where you can suggest any ideas to work on. We will also host quarterly Kaggle hackathons, where we spend the day working o

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