https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/example-data-science-notebook/Example%20Machine%20Learning%20Notebook.ipynb
An example machine learning notebook
Notebook by Randal S. Olson
Supported by Jason H. Moore
University of Pennsylvania Institute for Bioinformatics
It is recommended to view this notebook in nbviewer for the best viewing
experience.
Table of contents
Introduction
License
Required libraries
The problem domain
Step 1: Answering the question
Step 2: Checking the data
Step 3: Tidying the data
Bonus: Testing our data
Step 4: Exploratory analysis
Step 5: Classification
Cross-validation
Parameter tuning
Step 6: Reproducibility
Conclusions
Further reading
Acknowledgements
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