danjizquierdo

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Dan Izquierdo's repositories

dsc-1-01-02-introduction-summary-nyc-ds-career-012819

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dsc-2-22-11-natural-language-processing-lab-nyc-ds-career-012819

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dsc-2-22-12-naive-bayes-and-nlp-in-sklearn-nyc-ds-career-012819

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dsc-3-31-08-decision-tree-pruning-hyperparameter-optimization-lab-nyc-ds-career-012819

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dsc-3-31-08-decision-tree-pruning-hyperparameter-optimization-nyc-ds-career-012819

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dsc-3-31-09-regression-cart-trees-codealong-nyc-ds-career-012819

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dsc-3-31-10-regression-cart-trees-lab-nyc-ds-career-012819

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dsc-3-31-11-regression-trees-model-optimization-lab-nyc-ds-career-012819

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dsc-3-32-02-ensemble-methods-nyc-ds-career-012819

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dsc-3-32-03-random-forests-nyc-ds-career-012819

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dsc-3-32-04-tree-ensembles-and-random-forests-lab-nyc-ds-career-012819

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dsc-3-32-07-gradient-boosting-and-weak-learners-nyc-ds-career-012819

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dsc-3-32-09-gradient-boosting-lab-nyc-ds-career-012819

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dsc-3-32-10-xgboost-nyc-ds-career-012819

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dsc-3-33-02-curse-of-dimensionality-nyc-ds-career-012819

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dsc-3-33-02-introduction-to-support-vector-machines-nyc-ds-career-012819

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dsc-3-33-04-building-an-svm-using-scikit-learn-nyc-ds-career-012819

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dsc-3-33-05-the-kernel-trick-nyc-ds-career-012819

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dsc-3-33-06-kernels-in-scikit-learn-lab-nyc-ds-career-012819

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dsc-3-33-07-section-recap-nyc-ds-career-012819

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dsc-3-34-04-pca-covariance-mat-eigendecomp-nyc-ds-career-012819

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dsc-3-34-05-understanding-principle-component-analysis-nyc-ds-career-012819

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dsc-3-34-06-performing-principle-component-analysis-nyc-ds-career-012819

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dsc-3-35-02-unsupervised-learning-nyc-ds-career-012819

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dsc-4-37-02-introduction-to-nlp-with-nltk-nyc-ds-career-012819

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dsc-4-37-03-introduction-to-regular-expressions-nyc-ds-career-012819

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dsc-4-37-04-regular-expressions-lab-nyc-ds-career-012819

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dsc-4-37-07-context-free-grammars-and-pos-tagging-nyc-ds-career-012819

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dsc-4-37-08-context-free-grammars-lab-nyc-ds-career-012819

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dsc-4-37-09-text-classification-nyc-ds-career-012819

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