This year's project was divided into two research sections.

The first section was about a dataset regarding vehicle collisions and the second one was about air quality in China. To solve the project, a typical Data Science pipeline was used, starting from Data profiling, going to Data preparation, Classification, Clustering and Pattern Mining.

Our project obtained one of the higher grades, presenting a high level of detail and a robust theoretical and practical analysis.