Completion Date
Dec 1st, 2014
- Description:
- To predict the price of houses given their advertisement using machine learning.
– Achievements:
- Implemented more than 5 machine learning methods, including SVM, Decision Tree, Naïve Bayes, KNN, Linear regression, PCA, etc.
- Achieved the prediction on 20000 observations in 7 cities with 0.7210 RMSE.
