Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.
This notebook covers topics like:
Play with the content changing it, uncommenting lines and exploring the results
This library contains the material for the Lesson 1 of the Python lessons for TARGET internship at Fermilab. Read first the material in the Lesson. Then do the Challenges.
The lesson includes README.md (this file), the lesson and challenge notebooks. See also https://sites.google.com/view/targetpython/
This library is licensed under the Creative Commons Attribution-ShareAlike license (CC BY-SA). Original fork from: https://github.com/mambelli/target-python-lesson1