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Extracted from manipulated excerpts of the Entree Chicago Recommendation Data. Choice of a Chicago restaurant based on client's preferences.
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
LinkedIn profiles predicting connections
Source: Megafauna Software blog
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.
Prediction of events played by a user
The model has been created from a dataset grouped by user (https://bigml.com/user/czuriaga/gallery/dataset/554760cac0eea9546d00128c) without outliers.
A model predicting whether content on StumbleUpon will be evergreen in nature.
Data is based on training set of 2013 Kaggle competition: https://www.kaggle.com/c/stumbleupon