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METACHOP

This notebook was provided by Dr. Ryan Urbanowicz to be used during the Math, Engineering and Technology at CHOP (METACHOP) Workshop on June 19th, 2019.


Machine Learning (ML) 102 Workshop

  • Author: Ryan Urbanowicz, PhD (Debugging assistance by Dr. Trang Le)
  • Affiliation: University of Pennsylvania - Department of Biostatistics, Epidemiology, and Informatics & Institute for Biomedical Informatics (IBI) in collaboration with the Leonard Davis Institute (LDI)
  • Date: 5/1/19
  • github: https://github.com/UrbsLab/ML_Pipeline_Notebooks

A recording of Machine learning 101 Workshop (Dec 2018) – An Introduction to Machine Learning is available at:
https://bluejeans.com/playback/s/PF3d7xdm3DSBbZgHw6JpHnhoVSPVg2ACytbA6eMKFHRWEXSV2UaFNHMXJn7GV9kN

A recording of Machine Learning 102 Workshop (May 2019) – Machine Learning: An Analysis Pipeline is available at: https://bluejeans.com/playback/s/sYL8Nfeq9M1H42nLcGPxuxc59aj1DZI6o3Qf8EYnApXP1W2vnphICfuuxlsokPIF

To easily view this Jupyter Notebook in Google collab, use the following link: https://colab.research.google.com/github/UrbsLab/ML_Pipeline_Notebooks/blob/master/ML_102_Workshop.ipynb

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