JifuZhao/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
ArchivedCovers 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.
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Jupyter Notebook
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Mar 09, 2019
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