3 D Statistical Learning

Revenue Forecasting for Supermarket Chains: A Case Study with an Anonymous Supermarket Chain in Germany

I. Introduction and Problem Description Project Overview In this project, we present a robust end-to-end framework for forecasting daily revenue across multiple locations of an anonymous supermarket chain. Leveraging historical transaction data, the framework employs…

Case Study: Identifying Claim-Prone Customer Segments for a Car Insurance Provider

I. Introduction and Problem Description This case study offers a step-by-step guide to applying segmentation algorithms, with a particular focus on their use in a car insurance context. The code for this analysis is available…

Making SAS Accessible to Everyone – Edition 7: Data Analyzing and Reporting

Introduction Welcome to Edition 7 of Making SAS Accessible to Everyone. In the previous edition, we learned to prepare and validate data. Now, we explore how to analyze and report data in SAS using core…

Fusing Machine Learning in R: Late Integration Predictive Modeling with fuseMLR

Introduction Recent technological advances have enabled the simultaneous collection of multi-omics data, i.e., different types or modalities of molecular data across various organ tissues of patients. For integrative predictive modeling, analyzing such data presents several…