Published in


A Data Scientist uses Artificial Intelligence to Determine if Someone is a Good Credit Risk

Photo by Stephen Phillips - on Unsplash

In my most recent post I combined two datasets to determine if a debtor is a good customer. There were no guidelines as to how to determine if someone is a good customer, so I was expected to make my own assumptions as to how this might be so. The link to previous post on this subject is:- A Data Scientist uses Artificial Intelligence

Everything connected with Tech & Code. Follow to join our 900K+ monthly readers

Recommended from Medium

Live - Earthquake Tracking System Using Dash and Plotly.

Losing Someone, Function Graphs, and Data Extrapolation

My Take: Google Analytics Audit with

3 Steps to implement Self Service BI

Categorizing Fraudulent Credit Card Transactions

20+ Electoral Maps Visualizing U.S. Election Results — DataViz Weekly

The effect of location on property sale value, rental income, and rental yield in the ACT

Performing a Time Series Analysis on the AAPL Stock Index.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store


I have close to five decades experience in the world of work, being in fast food, the military, business, non-profits, and the healthcare sector.

More from Medium

When your conda gets messed up

Don’t just fit data, gain insights too

How I used sklearn’s LabelEncoder function to solve Kaggles February 2022 tabular competition

Split Your Dataset With scikit-learn’s train_test_split()