· 1. Introduction
· 2. Exploratory Data Analysis
∘ 2.1 Pattern Changes
∘ 2.2 Correlation Between Features
· 3. Anomaly Detection and Pattern Recognition
∘ 3.1 Point Anomaly Detection (System Fault)
∘ 3.2 Collective Anomaly Detection (External Event)
∘ 3.3 Clustering and Pattern Recognition (External Event)
· 4. Conclusion
· References
· Appendix — Scatter Matrix of Selected Features
· About Me

Note: The detailed project report and the datasets used in this post can be found in my GitHub Page.

1. Introduction

This project is part of my freelance data science work for a client. There is no non-disclosure agreement required…

Table of Content

· Introduction
· About the Dataset
· Import Dataset into the Database
· Connect Python to MySQL Database
· Feature Extraction
· Feature Transformation
· Modeling
· Conclusion and Future Directions
· About Me

Note: If you are interested in the details beyond this post, the Berka Dataset, all the code, and notebooks can be found on my GitHub Page.

This post is just a hands-on practice building a loan default prediction model. If you are interested in this topic and want to see some more in-depth work that I accomplished for a client, using optimization to turn their loss…