The aim of this project is to analyze customer behavior using association rules, unraveling the intricate patterns and connections within Instacart’s vast dataset. By employing association rules mining techniques, we seek to uncover meaningful insights into the composition of customer baskets, identifying frequently co-occurring products and shedding light on the dynamic nature of online grocery shopping habits.

The aim of this project was to perform a dimension reduction using Principal Component Analysis (PCA) on audio features of songs from Spotify. The data was gather by using Spotipy, which is a Python library for the Spotify Web API. I created a database containing all audio features offered by Spotify of songs from 20 most popular playlist on this platform. Below you can see the code used for gathering the data and data itself.