Requirements

• Machine learning model to predict housing prices with 0.95 R squared (0.87 currently) and 5,000 RMSE (44.5k currently)
• gather more geographical data to analyze (in progress)
  • nearest distance from MRT
  • distance from Raffles Place
  • nearest distance from mall
  • nearest distance from school
• Dashboard for data exploration to figure out the best features to use (in progress)
• Streamlit site for user friendly access
• Make it real time

Done

• Reduced size of combined dataframes to 40mb
• Normalize the price based on resale price index

Data

Data was taken from data.gov.sg