In this project, it is required to explore, segment, and cluster the neighborhoods in the city of Toronto. What is interesting about the field of data science is that each project can be challenging in its unique way, so we need to learn to be agile and refine the skill to learn new libraries and tools quickly depending on the project.
An overview of neighborhoods in the city of Boston based on the user-generated descriptions in Airbnb listings
A small website featuring a Cleveland neighborhood.
A deep dive analysis into the Boston Airbnb open source data
Segmenting and Cluttering Toronto Neighborhoods
Code to build the website tutorials for the Social Life of Neighborhoods course offered through Stanford's Sociology department in the spring quarter of 2021.
Geospatial dataset of 1000+ aggregated variables for neighbourhoods in Toronto, ON, CA
Generate json file for Turkish cities, districts and neighborhoods
Annotates "Calls For Service" data with the origin neighborhood name
Homeschool matches teachers with students in a study-group in the same location. It uses Google Maps API to obtain their addresses. Students near each other are grouped in study-groups that are then matched with a teacher near them.
Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.
A Data Clinic project that aggregates NYC Open Data at the tract-level and uses Machine Learning techniques to re-imagine neighborhood boundaries.
List and find Turkish cities via name, district name, post code, plate number etc.
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