JifuZhao/DS-Take-Home

My solution to the book A Collection of Data Science Take-Home Challenges

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Covers 20 real-world data science challenges spanning A/B testing, fraud detection, churn prediction, clustering, and optimization—each implemented as a Jupyter notebook with end-to-end analysis. Solutions demonstrate statistical hypothesis testing, classification/regression modeling, and exploratory data analysis techniques applied to practical business scenarios like conversion funnels, pricing experiments, and employee retention.

1,715 stars. No commits in the last 6 months.

Archived Stale 6m No Package No Dependents
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Adoption 10 / 25
Maturity 9 / 25
Community 25 / 25

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Stars

1,715

Forks

863

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 09, 2019

Commits (30d)

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