Developed an XGBoost Regressor Model to predict the time required to deliver the goods from pickup point to destination.
: Used Label Encoding to encode Categorical Features to Numerical Features .
: Parameters in Xgboost Regressor Model are : n_estimators=2000, eta(learning_rate)=0.1,eval_metric="rmse"
: Used KNN Imputer to fill out the missing values in columns.