scbronder

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FlatIron School

New York, NY

https://medium.com/@scbronder12

Scott Bronder's repositories

dsc-2-20-10-type-1-and-type-2-errors-nyc-career-ds-102218

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dsc-2-20-11type-1-and-type-2-errors-lab-nyc-career-ds-102218

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dsc-2-20-09-2-sample-t-tests-lab-nyc-career-ds-102218

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dsc-4-39-02-intro-to-recommendation-systems-nyc-career-ds-102218

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dsc-4-39-06-building-recommendation-system-als-pyspark-nyc-career-ds-102218

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dsc-2-13-07-using-an-orm-nyc-career-ds-102218

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dsc-1-09-19-one-sample-z-test-nyc-career-ds-102218

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dsc-2-13-06-reading-erd-diagrams-nyc-career-ds-102218

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sqlalchemy-intro-to-relationships-lab-nyc-career-ds-102218

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dsc-1-04-03-lambda-functions-nyc-career-ds-102218

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dsc-2-20-04-p-values-and-null-hypothesis-nyc-career-ds-102218

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dsc-0-07-18-z-scores-and-p-values-nyc-career-ds-102218

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dsc-2-20-03-introduction-to-experimental-design-nyc-career-ds-102218

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dsc-3-29-02-linear-to-logistic-regression-nyc-career-ds-102218

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dsc-3-29-04-logistic-regression-in-scikit-learn-nyc-career-ds-102218

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dsc-3-29-10-class-imbalance-problems-nyc-career-ds-102218

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dsc-3-29-08-roc-curves-and-auc-nyc-career-ds-102218

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dsc-3-27-07-evaluation-metrics-nyc-career-ds-102218

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dsc-3-32-05-gridsearchcv-nyc-career-ds-102218

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dsc-3-29-03-fitting-a-logistic-regression-model-lab-nyc-career-ds-102218

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dsc-3-31-06-decision-tree-scikitlearn-codealong-nyc-career-ds-102218

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dsc-0-09-12-gaussian-distributions-nyc-career-ds-102218

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dsc-1-11-04-dealing-with-categorical-variables-nyc-career-ds-102218

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dsc-3-27-08-evaluation-metrics-lab-nyc-career-ds-102218

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dsc-3-29-06-evaluating-logistic-regression-models-lab-nyc-career-ds-102218

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dsc-0-04-14-missing-data-summary-nyc-career-ds-102218

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dsc-2-20-01-introduction-nyc-career-ds-102218

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dsc-2-19-16-confidence-intervals-with-t-distribution-nyc-career-ds-102218

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dsc-2-19-15-confidence-intervals-lab-nyc-career-ds-102218

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dsc-2-19-14-sampling-statistics-nyc-career-ds-102218

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