This course is intended for students having intermediate-level knowledge of Python and Machine Learning. If you haven’t finished yet the Data Analytics – Beginner/Intermediate course, we recommend you to finish them first before taking this course.

The objectives of this course are:

• Understanding ensemble algorithms and especially, the Gradient Boosting algorithm;
• Learning how to find fraudulent transactions using XGBoost Classifier; and
• Learning how to design and evaluate a classification model.

This course was developed under the Framework of the BACUDA Project supported by CCF-Korea.