XGBoost Model in Python | Tutorial | Machine Learning

How to create a classification model using XGBoost in Python? The tutorial will provide a step-by-step guide for this. Problem Statement from Kaggle: https://www.kaggle.com/c/santander-customer-transaction-prediction/ Code on Github: https://github.com/harsh1kumar/learning/blob/master/machine_learning/santander_trxn_prediction/07_trxn_pred_xgboost.ipynb Code on Kaggle: https://www.kaggle.com/harsh1kumar/santander-trxn-pred-xgboost Timestamp: 00:00 - Introduction 01:02 - Import libraries and read data 02:49 - Create XGBoost classifier 06:31 - Evaluate model performance 07:54 - Hyper parameter tuning 11:32 - Result of hyper parameter tuning 13:59 - Build final XGBoost Model 15:05 - Performance as trees increase 16:34 - Feature Importance 17:11 - Find predictions for test data