Data Science, Marketing, Data Analysis, Segmentation, Python.
complex but fascinating project. As usual in data science, cleaning and feature engineering took 80% of the time, but the resulting clustering was well worth the effort. We’ve identified four segments showcasing distinct purchasing habits and reactions to marketing offers. Most importantly, we’ve