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GitHub / rishitsaraf / ushousing-datasciencemodel
A data science model that explains how key supply-demand factors that influence US home prices impacted home prices over the last 20 years. Using the S&P Case-Schiller Home Price Index as a proxy for home prices: fred.stlouisfed.org/series/CSUSHPISA.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rishitsaraf%2Fushousing-datasciencemodel
Stars: 1
Forks: 2
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 1.98 MB
Dependencies:
7
Created: about 2 years ago
Updated: 5 days ago
Last pushed: 5 days ago
Last synced: 5 days ago
Topics: analytics, data, data-science, data-visualization, heroku-deployment, housing, prediction
Files
Dependencies
- matplotlib ==3.3.3
- numpy ==1.19.4
- pandas ==1.2.3
- plotly ==5.6.0
- seaborn ==0.11.2
- streamlit ==0.88.0
- streamlit-timeline ==0.0.2