Use case – using MXNet for classification and regression

In this section, we will use a new dataset to create a binary classification task. The dataset we will use here is a transactional dataset that is available at https://www.dunnhumby.com/sourcefiles. This dataset has been made available from dunnhumby, which is perhaps best known for its link to the Tesco (a British grocery store) club-card, which is one of the largest retail loyalty systems in the world. I recommend the following book, which describes how dunnhumby helped Tesco to become the number one retailer by applying analytics to their retail loyalty program: Humby, Clive, Terry Hunt, and Tim Phillips. Scoring points. Kogan Page Publishers, 2008. Even though this book is relatively old, it remains one of the best use cases to describe how to roll out a business-transformation program based on data analytics.