Ames Housing Prices Prediction

Project Title
Ames Housing Prices Prediction. (Link to Notebook Viewer)
Process	Tool	Library	Field
Data Exploration Data Cleaning Feature Engineering & Preprocessing Model Training & Evaluation	Python	pandas numpy matplotlib seaborn sklearn	Economic Real Estate
Description
The objective is to predict the future housing prices in Ames, Iowa. The metric for this project uses root mean squared error (RMSE). Here's the link to the project in Kaggle. Summary of results: Selected model: Gradient Boosting Regressor. Selected features: 69. Training result: RMSE is 22,180.36 USD; standard deviation is 2,309.73 USD. Testing result from Kaggle: RMSE is 28,050.98 USD.
Collected Dataset
Ames Housing Datasets.