Personalization should focus on brands showing respect to people rather than machines gaining a simplistic understanding of ...

A retailer has engaged us to help create customer clusters ... applies Unsupervised Learning techniques. The input dataset can be found in the Files folder. The complete code, including data analysis ...

The UK's first "teacherless" GCSE class, using artificial ... screen is that it is a machine and it's inert, so you're straight away dehumanising the process of learning, taking away those ...

This research scrutinizes 212 published articles from 2015 to 2023, delving into customer churn prediction using machine learning methods. Distinctive in its scope, this work covers key stages of ...

Abstract: Popular semi-supervised medical image segmentation networks often suffer from error supervision from unlabeled data since they usually use consistency ...

Identified 3 distinct customer segments—Daily, Weekend, and Promotion-Focused—improving campaign targeting effectiveness by 25%. • Utilized Python and scikit-learn to implement feature engineering and ...