For this competiton, we are given a data set of 1460 homes, each with a few dozen features of types: float, integer, and categorical. We are tasked with building a regression model to estimate a home's sale price. Total number of attributes equals 81, of which 36 is quantitative, 43 categorical + Id and SalePrice.
What I will show you on this notebook?
Understanding the data Exploratory Data Analysis Data Preprocessing PCA Trial GBM and XGBoost Models Submission