Table of Contents 1 Executive Summary 2 Introduction 3 Methodology 4 Results 5 Discussion 6 Conclusion Appendixes 1 Executive Summary We will build a predictive model for a telecom customer churn using variables from the customer dataset. …

Contents: Executive Summary Introduction Methodology Results Discussion Conclusion Appendixes 1. EXECUTIVE SUMMARY In this article, we will see how to predict customer sales volume using transaction history and demographics datasets. We conclude that a Simple Linear Regression could use annual income as a strong predictor for future sales. 2. INTRODUCTION This case study is part…

Table of Contents Executive Summary Introduction Methodology Results Discussion Conclusion 1 Executive Summary This article illustrates an example of anomaly detection techniques application to analyze customer credit card behavior to identify potentially fraudulent transactions. We discuss the preprocessing steps, apply anomaly detection algorithms such as Local Outlier Factor and Elliptic Envelope hyper-parameters, and visualize the outcome.

IBM DS0720EN DATA SCIENCE AND MACHINE LEARNING CAPSTONE PROJECT — ABSTRACT