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Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.

Modified on: Sep 29, 2017
0 clones
Modified on: May 10, 2019

This notebook covers topics like:

  • plotting functions
  • polar coordinates
  • trigonometric functions and wave modulations
  • turtle drawings
  • fractals

Play with the content changing it, uncommenting lines and exploring the results

Modified on: Jul 15, 2019
0 clones
Jupyter notebook support for neural style transfer with TF
Modified on: Jul 26, 2017
Modified on: Jul 16, 2019

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 (this file), the lesson and challenge notebooks. See also

This library is licensed under the Creative Commons Attribution-ShareAlike license (CC BY-SA). Original fork from:

Modified on: May 16, 2020
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