Gradient Boosting (GBM) in Python using Scikit-Learn | Tutorial | Machine Learning

How to create a Gradient Boosting (GBM) classification model in Python using Scikit Learn? The tutorial will provide a step-by-step guide for this. Problem Statement from Kaggle: https://www.kaggle.com/c/santander-cu... Code on Github: https://github.com/harsh1kumar/learni... Code on Kaggle: https://www.kaggle.com/harsh1kumar/sa... Timestamp: 00:00 - Introduction 00:32 - Import relevant libraries 01:46 - Read training csv data 03:03 - Split data into train and validation Datasets 03:59 - GBM Parameters 07:02 - Create GBM Model 08:12 - Measure model performance 09:15 - Plot performance wrt trees 11:33 - Feature Importance 12:56 - Find predictions for test data