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dsc-1-04-03-lambda-functions-nyc-ds-career-031119 Public
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dsc-2-19-16-confidence-intervals-with-t-distribution-nyc-ds-career-031119 Public
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dsc-2-19-14-sampling-statistics-nyc-ds-career-031119 Public
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dsc-1-09-06-the-probability-mass-function-nyc-ds-career-031119 Public
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dsc-2-20-03-introduction-to-experimental-design-nyc-ds-career-031119 Public
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dsc-feature-scaling-and-normalization-nyc-ds-career-031119 Public
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dsc-1-08-15-bernoulli-and-binomial-distribution-nyc-ds-career-031119 Public
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dsc-1-09-03-statistical-distributions-and-their-use-cases-nyc-ds-career-031119 Public
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dsc-2-20-04-p-values-and-null-hypothesis-nyc-ds-career-031119 Public
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dsc-3-25-04-visualizing-time-series-data-lab-nyc-ds-career-031119 Public
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dsc-2-21-03-conditional-prob-nyc-ds-career-031119 Public
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dsc-1-10-02-introduction-summary-nyc-ds-career-031119 Public
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dsc-1-08-11-permutations-and-factorials-nyc-ds-career-031119 Public
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dsc-3-32-10-xgboost-nyc-ds-career-031119 Public
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dsc-2-24-09-ridge-and-lasso-regression-nyc-ds-career-031119 Public
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dsc-4-39-03-collaborative-filtering-singular-value-decomposition-nyc-ds-career-031119 Public
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dsc-1-05-05-selecting-data-nyc-ds-career-031119 Public
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dsc-4-39-06-building-recommendation-system-als-pyspark-nyc-ds-career-031119 Public
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dsc-04-41-02-deep-networks-nyc-ds-career-031119 Public
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dsc-1-08-09-introduction-to-probability-nyc-ds-career-031119 Public
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dsc-2-19-15-confidence-intervals-lab-nyc-ds-career-031119 Public
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dsc-2-19-11-introduction-to-sampling-nyc-ds-career-031119 Public
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dsc-2-19-12-central-limit-theorem-nyc-ds-career-031119 Public
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dsc-3-31-09-regression-cart-trees-codealong-nyc-ds-career-031119 Public
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dsc-1-01-04-the-data-science-process-nyc-ds-career-031119 Public
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dsc-2-22-14-document-classification-using-naive-bayes-lab-nyc-ds-career-031119 Public
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dsc-2-22-12-naive-bayes-and-nlp-in-sklearn-nyc-ds-career-031119 Public
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