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Real Estate Price Estimation


Creative Fields
Machine Learning
Completion Date
Dec 1st, 2014



- Description:

  • To predict the price of houses given their advertisement using machine learning.

– Achievements:

  1. Implemented more than 5 machine learning methods, including SVM, Decision Tree, Naïve Bayes, KNN, Linear regression, PCA, etc.
  2. Achieved the prediction on 20000 observations in 7 cities with 0.7210 RMSE.
 
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