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Python Hierarchical Clustering Exercises

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks, with full solutions provided as notebooks and as PDFs. These exercises teach the fundamentals of hierarchical clustering using some great real-world datasets, including stock price movements and voting data from the Eurovision song contest.

From the course Transition to Data Science. Buy the entire course for just $10 for many more exercises and helpful video lectures. Also available at DataCamp.

Requirements

To use these exercises you'll need Python 3 and recent versions of scipy, scikit-learn and pandas. The easiest way to get started is to install the free Anaconda distribution.

License

Free for personal and non-commerical educational use, so long as the links to the course are not removed from any of the files.