Download or read book Overview of Machine Learning Methods in Predicting House Prices and Its Application in R written by Wei-Ta Chen and published by . This book was released on 2017 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report aims to predict house prices by using several machine learning methods. These methods include ordinary least squares regression, Ridge regression, Lasso regression, and k-nearest neighbor regression. We compare the prediction accuracy by using root mean square error (RMSE) among these models to determine which model performs best in the predictions of house price. The propose of this report is to give an overview of how to perform different models in predicting house prices and its implementation in R.