This repository was created in order to provide didactical material for the Introduction to Machine Learning for biomedical data analysis in Python course, taught by Dr. Adriano Barbosa-Silva in various Data Science for Health courses.
This repository uses resources collected from diverse sources in the internet. Credits should be given for the authors listed below, from whom I obtained the original material for free code at Kaggle for teaching purposes. They deserve full credits for their great work!
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Comparing Classification Models: sklearn iris data, Nilimesh Halder, Accessed Sep. 2019.
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Breast Cancer Analysis and Prediction, Vincent Lugat, Accessed Sep. 2019.
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Heart diseases predictive model (beginners), Rishabh Pande, Accessed Sep. 2019.
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PIMA Indians Diabetes, Rishabh Pande, Accessed Sep. 2019.
To launch the interactive version of such notebooks on-the-fly using the service myBinder, click on the banner below:
