London Restaurants Analysis, Visualization and Recommendation System

Tools Used: Python, Geopandas, Folium, Osmnx, Shapely, Scikit-Learn

Description
In this project, there were two main datasets and two notebooks used. Initial analysis were made by clustering the restaurants into 10 clusters. Geopandas and folium interactive visualizations were made, and at the end, a content-based recommendation system was created.

Datasets used
- Wyre DataApi restaurants data
- Osmnx restaurants data

Processes followed
1. Data cleaning
2. Cluster analysis
3. Buffer analysis
4. Geopandas and folium plots
5. Content-based recommendation system

Notebooks
1. Wyre data notebook
2. Osmnx notebook (Still being worked on)

Results
1. Final visualization of London restaurants as well as major transportation networks and points in London
2. Content-based recommendation system based on the restaurant data

Link to the github repo