Use Data Mining and Machine Learning techniques to extract drivers of prices of houses in Singapore
- Singapore government .CSV and API: https://data.gov.sg/dataset/resale-flat-prices
- OneMAP API: https://www.onemap.sg/home/
- POI datasets .CSV: https://github.com/hxchua/datadoubleconfirm/tree/master/datasets
- Correlation Matrix
- Sklearn Feature Selection
- Random Forest for feature importance
- Time Series Analysis (houses prices from 1990 to 2020)
- Linear Regression to determine coefficients of features
- Random Forest to predict price of the house
Here is the presentation of the results : Presentation PDF