PLBMR/cmuDSCWorkshopNotebooks

This repository holds some of the notebooks I use to study some data for the CMU Data Science Club.

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These notebooks provide practical examples and guidance for exploring and understanding various datasets. They walk you through the process of analyzing data to uncover insights, visualize patterns, and make sense of information. This resource is perfect for students, aspiring data scientists, or anyone new to data analysis looking for hands-on learning.

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Use this if you are a student or beginner in data science looking for practical, guided examples to understand how to analyze different types of data.

Not ideal if you are an experienced data scientist looking for advanced techniques or a production-ready solution.

data-analysis-education data-exploration data-science-training student-learning intro-data-science
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Jupyter Notebook

License

MIT

Last pushed

Mar 12, 2017

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