Uber total pickups using kmeans clustering in python

By shreya sai prabakar

this is a simple Python project where the Uber datasets are collected and then they are clustered using KMeans and implemented in the graph

This is a simple Python project where the Uber datasets are collected(the datasets are taken from Kaggle), then they are clustered into 5 types with color divisions using the scatter graph.

finally, by importing the folium module, I've used OpenStreetMap and imported the specific map location using

the decimal latitudes and longitudes of that city(for eg Sydney's latitude and longitude coordinates are -33.865143, 151.209900.)

then finally, I implemented the clusters into the map using simple Python concepts. the output shows which area has got the maximum number of clusters

(i.e.) the area which received the maximum Uber drives.

I ran this project in jupyter notebook. I've also included the visual studio version of this project.