Datascience Hackathon – Old School vs New School – Challenge 1: build a recommendation engine

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As a final exercise before the summer 2 teams will challenge each other and build the best recommendation model during a hackathon held in Brussels over the weekend of July 3,4 .

This is the first challenge where old school datascience experts will compete against New School big data science techniques.

Our first challenge is about building a recommendation engine on subscribers data from 4UCampus.

The challenge from 4UCampus:

This company is facilitating subscriptions for students and academic personnel at discounted rates.

Over 100k customers have different subscriptions out of 130 possibilities.

Based on historic data of the past 12 years the teams will work on building a recommendation engine.

Registration:

Please useoureventbrite page to register for this hackathon.

bdsc-hackathon.eventbrite.com

The presentation of the data:

Presentation of the data that will be used in our First Hackathon

Monday, Jun 22, 2015, 7:00 PM

No location yet.

14 Fast learners Attending

We have prepared a nice dataset for you.During this hackathon the Classics vs Bigdata approaches will be used to analyse the dataset.We expect that teams will build for example a recommendation engine in batch and/or realtime.

Check out this Meetup →

The hackathon:

Hackathon – Old School vs New School – Challenge 1: build recommendation engine

Friday, Jul 3, 2015, 7:00 PM

No location yet.

7 Fast learners Attending

We have prepared a nice dataset for you.During this hackathon the Classics vs Bigdata approaches will be used to analyse the dataset.We expect that teams will build for example a recommendation engine in batch and/or realtime.

Check out this Meetup →

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