# python-clustering-exercises

**Repository Path**: hoperstar/python-clustering-exercises

## Basic Information

- **Project Name**: python-clustering-exercises
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-21
- **Last Updated**: 2020-12-21

## Categories & Tags

**Categories**: Uncategorized

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## README

# Python Clustering Exercises
Exercises for k-means clustering with Python 3 and scikit-learn as Jupyter Notebooks, with full solutions provided as notebooks and as PDFs.  These exercises teach the fundamentals of k-means using some great real-world datasets, including stock price movements, measurements of fish and seed dimensions.

From the course _Transition to Data Science_. [Buy the entire course for just $10](https://www.udemy.com/transition-to-data-science-in-python/?couponCode=CLUSTER-NBS) for many more exercises and helpful video lectures.  Also available at [DataCamp](https://www.datacamp.com/courses/unsupervised-learning-in-python).

# Requirements
To use these exercises you'll need Python 3 and recent versions of scikit-learn and pandas.  The easiest way to get started is to install the free [Anaconda distribution](https://www.anaconda.com/download/).

# 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.