Number of sales prediction, based on etsy.com shop stats: items, followers, admirers, feedback, open date, sales,...

Source

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

Day of week patterns in car accidents with fatalities, based on accident and personal variables during 2011 in USA

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Fatality Analysis Reporting System (FARS) Encyclopedia

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

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Telephony Churn Prediction Dataset

etsy.com shops sales prediction, based on other shop parameters like items, followers, admirers, feedback, open date,...

Source

Data extracted directly from etsy.com using import.io crawler

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

NASDAQ index prediction, based on commodities (gold, silver, platinum, coal, Brent crude oil) prices and date.

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Custom Superset created using Quandl

Apple (NASDAQ_AAPL) share prediction based on 50 previous

- open price

high price - low price

close price

volume negotiated

and average close price and volume negotiated from the last 5-days, 10-days, 30-days, and 90-days

Source

Initial dataset taken from Quandl

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

The aim is to distinguish between the presence and absence of cardiac arrhythmia and to classify it in one of the 16 groups:

• Class 01 refers to 'normal' ECG
• Classes 02 to 15 refers to different classes of arrhythmia
• Class 16 refers to the rest of unclassified ones.

For the time being, there exists a computer program that makes such a classification. However there are differences between the cardiolog's and the programs classification. Taking the cardiolog's as a gold standard we aim to minimise this difference by means of machine learning tools.

Source

Arrhythmia Data Set at UCI Machine Learning Repository