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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.
This dataset contains 100+ fields about movies that were nominated for high profile awards including The Academy Awards (Oscars) between the years 2000 and 2019.
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