Supermarket Data aggregated by Customer and info from shops pivoted to new columns.

Pennacchioli, D., Coscia, M., Rinzivillo, S., Pedreschi, D. and Giannotti, F., Explaining the Product Range Effect in Purchase Data. In BigData, 2013.

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Supermarket data

Sample dataset of one year hourly basis machine monitor, with the recorded info about failures.

The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (or not) subscribed.

The classification goal is to predict if the client will subscribe a term deposit.

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Bank Marketing Data Set at UCI Machine Learning Repository

Stats from etsy.com shops: items, followers, admirers, feedback, open date, sales,...

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Data from 58,000 shops extracted directly from etsy.com using import.io crawler

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A dataset relating characteristics of telephony account features and usage and whether or not the customer churned.

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Churn Data Set from Discovering Knowledge in Data: An Introduction to Data Mining

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

The Sales Jan 2009 file contains some “sanitized” sales transactions during the month of January. Below is a sample of a report built in just a couple of minutes using the Blank Canvas app. These 998 transactions are easily summarized and filtered by transaction date, payment type, country, city, and geography

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spatialkey datasets

A dataset of steel plates’ faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition.

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Steel Plates Faults Data Set at UCI Machine Learning Repository