/Real-Estate-Price-Analysis-Singapore

Use Data Mining and Machine Learning techniques to extract drivers of prices of houses

Primary LanguageJupyter Notebook

🏨 Singaporean Real Estate Analysis 🏨

Use Data Mining and Machine Learning techniques to extract drivers of prices of houses in Singapore

🔎 Data Collection

👉 Feature Selection

  • Correlation Matrix
  • Sklearn Feature Selection
  • Random Forest for feature importance

💻 Machine Learning

  • 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