Skip to content

In this Python project we'll use Web Scrapping, API calls, and Data wrangling and manipulation to determine the best neighbourhoods to live in based on a set of hobbies. For this we'll use the city of Brussels, Belgium, the API of Foursquare and the Folium package to display the matching neighbourhoods on a map.

Notifications You must be signed in to change notification settings

ArnaudBorrens/Real-Estate-Analysis-API-Webscrapping-Viz

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

Real-Estate-Analysis

In this Python project, we'll use Web Scrapping, API calls, Data wrangling, and manipulation to determine the best neighborhoods to live in based on a set of hobbies. For this, we'll use the city of Brussels, Belgium, the API of Foursquare, and the Folium package to display the matching neighborhoods on a map.

About

In this Python project we'll use Web Scrapping, API calls, and Data wrangling and manipulation to determine the best neighbourhoods to live in based on a set of hobbies. For this we'll use the city of Brussels, Belgium, the API of Foursquare and the Folium package to display the matching neighbourhoods on a map.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published