Analytics, Data Science, Real Estate, Machine Learning, Xgboost.
project: It is effectively and somewhat accurately to predict the house prices using the data provided. The usage of high correlated features to construct a reasonable predicting model (0.146). Results are more promising using One Hot Encoding (0.1237) rather than Label Encoding (0.1277). From the