Compressing Feature Space For Classification Using PCA
In this project we use Principal Component Analysis (PCA) to compress 100 unlabelled, sparse features into a more manageable number ...
Hi, I'm Paul – a passionate professional in Data Science, Automation, and ERP solutions. My portfolio showcases projects that drive efficiency, business impact, and innovation. Whether it's predictive analytics, process automation, or ERP optimization, I focus on delivering value through data-driven solutions. Feel free to explore my work on GitHub and LinkedIn, or download my resume using the links below!
In this project we use Principal Component Analysis (PCA) to compress 100 unlabelled, sparse features into a more manageable number ...
In this project we use k-means clustering to segment up the customer base in order to increase business understanding, and to enhanc...
Our client, a grocery retailer, wants to utilise Machine Learning to reduce mailing costs, and improve ROI! Table of contents 0...
Our client, a grocery retailer, hired a market research consultancy to append market level customer loyalty information to the datab...