Exploratory Data Analysis: Product Recommendations
In data science, EDA is an exploratory analysis of a data set. The goal is to better understand the stories that the data tells, and to uncover interesting ideas that may turn into new hypotheses to explore.
This is only a small portion. There's much more, and I'm still working on it. I've published what I have so far on Kaggle: Santander - Product Recommendation EDA (WIP)
I'm working on an EDA of the Santander product recommendation dataset. It contains anonymized data about 1.5 years of customer behavior data. The goal is to predict which new products an existing customer will get.
Here's a sample chart I created with the Python visualization library Matplotlib to better understand how many of each new product were purchased/obtained during the 1.5 years. There are actually 27 products total, and I'm visualizing the first 8.
Comments
Post a Comment
Hey there, I just want to let you know that I read all comments. Thanks for taking the time to write something. Your words mean a lot to me. Be gentle and kind - this is a space where I post my works-in-progress, good or bad, and it can be hard putting my art out there.