This is a project between 3- Zip Code Wilmington students, that have explored API data to find out what are the relevant factors that are driving the Philadelphia City housing market.We will collect some historical data from Open Databsae of Philly, including real estate, public school, hospital, crime rate, park and recreation facilities, and so on. Also, we will update some daily housing information in the Philly area, to allow us to have a parallel view of the price prediction study.
This repo contains the code for a collaborative project between 3- Zip Code Wilmington students, using both static and API data to answer two questions:
- What are the relevant factors that are driving the Philadelphia City housing market?
- Can those factors be used to handpick reliable real estate investments in Philadelphia?
What are the factors that currently driving housing prices in Philadelphia?
| TASK |
|---|
| DATA SOURCE & EXTRACTION |
| TRANSFORMATION |
| VISUALIZATION |
| MACHINE LEARNING |
Chris Chavez, Data Engineer and Military Veteran bringing 20 yrs of experience thriving in fast paced environments and working on teams that gleaned industry best practices; molded organizational strategic planning; produced results from vast amounts of data in a timely manner.
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Maleda Tessema, A former international flight attendant for 7 years (Ethiopian Airlines); Sr. Flight Attendant and Team Leader. Has an eye for detail, eager to learn new things with a can-do attitude, and the ability to adapt quickly to a new environment. Currently in training as a Data Engineer at Zip Code Wilmington.
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YueRu Li, A resourceful, adaptable Data Engineer/Data Analyst with professional experience as a research scientist highly skilled in handling real-world datasets, performing data cleaning and visualization, and solving complex theoretical and experiential problems.
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