This repository includes educational materials and a basic example machine learning analysis pipeline. These materials were originally developed for a workshop series at the University of Pennsylvania organized jointly by IBI and LDI.
The single juptyer notebook currently included in this repository was designed to be paired with an introductary lecture on Machine learning at the University of Pennsylvania on 5/1/19.
It offers an example pipeline for analyzing a biomedical dataset taken from the UCI Machine Learning Benchmark Archive, discussing and providing examples of all essential elements of a machine learning pipeline.
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