Unsupervised Machine Learning on Uber NY Dataset

Project Goal

We will use Unsupervised Machine Learning to create a recommendation algorithm on where Uber drivers in New York should be to maximize their chances of finding a ride.

Deliverables

• Clean, well-commented code
• Clean data with EDA
• Unsupervised ML modeling with KMeans, using Elbow method
• Vizualisation map using Folium library
• Models implementation and comparison