House Price Prediction with Machine Learning
Estimating the sale prices of houses is one of the essential projects on Data Science. In this study, the machine learning model used is XGBoost.
By finishing this project, we will be able to predict continuous variables using regression techniques with the help of an optimized open-source implementation of the gradient boosting tree algorithm.
To predict the sale prices we are going to use 79 explanatory variables describing aspects of residential homes in Ames, Iowa.
Jupyter Notebook > House Price Prediction with Machine Learning
