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.
Access The hosted Case Study - http://usahousing-model.herokuapp.com
Check the process in detail on my medium blog here
👉 Main File
👉 Data Cleaning
👉 Data resampling
👉 Correlation Analysis
The dependencies used are:
- Numpy
- Pandas
- Matplotlib
- Streamlit
- Plotly
- Streamlit-Timeline
- Seaborn