This is a repository of the capstone project for IBM Data Science Professional Certificate program (link to certificate). This program consisted of 9 courses covering various topics in data science tools, data analysis, data visualization, and machine learning. For the capstone project, I developed a neighborhood recommendation system in the city of Seattle. Completing the project required me to do the following:
- Curating a dataset with the necessary information (neighborhood longitude and latitude, average rent, etc.)
- Displaying different neighborhoods on an interactive map (with
foliumlibrary) - Combining the neighborhood dataset with a Foursquare dataset of various nearby businesses
- Clustering neighborhoods with k-means clustering
- Adding additional variables that play a role in deciding a neighborhood to visit/live in
- Creating a recommendation system GUI