benjaminwilson / Python Hierarchical Clustering Exercises
Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks
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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.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].