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The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit
Oscars nominated movies from 2000 to 2017.
This data set contains 2153471 users, 1143092 venues, 1021970 check-ins, 27098490 social connections, and 2809581 ratings that users assigned to venues; all extracted from the Foursquare application. Each user is represented by an id, and GeoSpatial location. The same for venues.
Single-table dataset from Chapter 2 of the book:
- Data Smart: Using Data Science to Transform Information into Insight by John W. Foreman (http://eu.wiley.com/WileyCDA/WileyTitle/productCd-111866146X.html)
Represents the response to marketing offerings of a number of customers.
Collection of 516174 songs, including the artist, lyrics and song name.
Perfect dataset to create a Topic Modeling on lyrics field or song name.
Eurovision 2013 song contest results patterns using the country votes, country that voted, neighborhood of countries, final position in contest, total points, and song language.
It has been generated derived info like if the country points are greather than the average points, if the country received any points, high points (8, 10 and 12), or received the top 12 points.
A Europe map to get country neighbors
Dataset grouped by user with events info from 4 months
This dataset contains the audition results of 5 editions of The Voice (Holland 2010, 2011, Flanders 2011, US 2011, UK 2012) and predicts what the highest level is a contestant can reach. It uses the time it took a first, second, third and fourth coach to turn his/her chair from the moment the vocalist started to sing. If more than 1 coach turned, it also has the time from first to last coach. See this blog post for full details.