From Python to Julia: Feature Engineering and ML

A Julia-based approach to building a fraud-detection model

This is part 2 in my two part series on getting started with Julia for applied data science. In the first article, we went through a few examples of simple data manipulation and conducting exploratory data analysis with Julia. In this blog, we will carry on the task of building a fraud detection model to identify fraudulent transactions.

To recap briefly, we used a credit card …

data science feature engineering julialang machine learning python