3 D Statistical Learning

Case Study: Predicting Customer Sensitivity to Interest Rate Changes – A Step-by-Step Binary Classification Approach Using Random Forest

Introduction A leading retail bank aims to optimize the pricing of its credit portfolio by predicting how sensitive its customers are to changes in interest rates. This case study provides a step-by-step walkthrough of how…

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 15: Processing Repetitive Code with DO Loops

Introduction Welcome to Edition 15 of Making SAS Accessible to Everyone. In this edition, we turn our attention to one of the most fundamental programming tools in SAS: the DO loop. Repetitive tasks are ubiquitous…

Making SAS Accessible to Everyone – Edition 14: Combining SAS Data Sets Using DATA Step Methods

Introduction Welcome to Edition 14 of Making SAS Accessible to Everyone. This edition focuses on an essential task in data processing: combining tables. Whether you’re preparing monthly reports, integrating survey results, building comprehensive views across…

Making SAS Accessible to Everyone – Edition 13: Creating and Using Custom Formats

Introduction Welcome to Edition 13 of Making SAS Accessible to Everyone. This edition introduces an essential skill for improving the readability, presentation, and interpretability of SAS output, custom formats. Custom formats allow you to: Label…

Making SAS Accessible to Everyone – Edition 12: Manipulating Data with Functions

Introduction Welcome to Edition 12 of Making SAS Accessible to Everyone. In the previous edition, we explored techniques for summarizing data using RETAIN, BY-group processing, and subsetting. In this edition, we delve into one of…