This project is part of my freelance data science work for a client. There is no non-disclosure agreement required and the project does not contain any sensitive information. So, I decided to showcase the data analysis and modeling sections of the project as part of my personal data science portfolio. The client’s information has been anonymized.
The goal of this project is to build a machine learning model…
· 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
· 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.
This project is part of my freelance data science work for a client. There is no non-disclosure agreement required…
Note: If you are interested in the details beyond this post, the Berka Dataset, all the code, and notebooks can be found in my GitHub Page.
For banks, it is always an interesting and challenging problem to predict how likely a client is going to default the loan when they only have a handful of information. In the modern era, the data science teams in the…
Data Scientist at Chapeau AI. I am an aspiring technologist, a quick learner, and a problem solver with engineering backgrounds.