This repository is part of the IBM/Coursera capstone project. A requirement is to link each of the three deliverablse (Jupyter Notebook, Report, Presentation) to the submission from your own GitHub account. Students choose their own problem to solve and find their own source data and execute their own analysis. I chose to find the optimal locaiton for a Poke restaurant in Seattle (where I live and because one of my favorite lunches at work was the Poke shop across the street -- before the pandemic made us work from home).
- Jupyter Notebook
- Python 3
- Python Libraries: Pandas, Numpy, Matplotlib, Seaborn, Folium, Sklearn, Requests, and optionally pygeocoder
- Instructions to install Jupyter Notebook: https://jupyter.org/install
- From inside Jupyter Notebooks, one can install libraries through !pip install
- Geocoder website: https://geocoding.geo.census.gov/geocoder/Geocoding_Services_API.html
- Website of Foursquare developer: https://developer.foursquare.com/
Matt Pierce, MSDA, MCSE and future Data Scientist
This project is licensed under the Creative Commons Zero v1.0 Universal License, see the LICENSE for details.
- Coursera Info - https://www.coursera.org/professional-certificates/ibm-data-science
- My Certificate - https://coursera.org/share/66d0ed51777d74306383af5c2e4be342
- LinkedIn - https://www.linkedin.com/in/mpiercead576/
- YouTube - https://www.youtube.com/channel/UCQciXv3xaBykeUFc04GxSXA (Data Research Labs)
- Medium Article - https://medium.com/swlh/coursera-ibm-data-science-professional-certificate-review-78004fca9d6b