ptbailey

Emotion-Recognition

applying-gradient-descent-data-science-intro-000

calculus-derivation-gradient-descent-data-science-intro-000

dsc-1-11-06-multicollinearity-of-features-nyc-career-ds-102218

dsc-2-14-03-introduction-to-derivatives-nyc-career-ds-102218

dsc-2-18-01-introduction-nyc-career-ds-102218

dsc-2-18-03-html-introduction-nyc-career-ds-102218

dsc-3-25-02-introduction-to-time-series-nyc-career-ds-102218

dsc-3-25-04-visualizing-time-series-data-lab-nyc-career-ds-102218

dsc-3-27-06-confusion-matrices-nyc-career-ds-102218

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

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

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

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

dsc-3-31-02-introduction-to-PAC-learning-theory-nyc-career-ds-102218

dsc-3-31-03-introduction-to-decision-trees-nyc-career-ds-102218

dsc-3-31-05-ID3-trees-perfect-split-info-gain-lab-nyc-career-ds-102218

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

dsc-3-31-07-decision-tree-scikitlearn-lab-nyc-career-ds-102218

dsc-3-31-08-decision-tree-pruning-hyperparameter-optimization-nyc-career-ds-102218

dsc-3-31-09-regression-cart-trees-codealong-nyc-career-ds-102218

dsc-3-32-02-ensemble-methods-nyc-career-ds-102218

dsc-3-32-03-random-forests-nyc-career-ds-102218

dsc-3-32-04-tree-ensembles-and-random-forests-lab-nyc-career-ds-102218

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

dsc-4-39-03-collaborative-filtering-singular-value-decomposition-nyc-career-ds-102218

dsc-4-39-04-singular-value-decomposition-numpy-scipy-lab-nyc-career-ds-102218

dsc-4-39-05-matrix-factorization-als-nyc-career-ds-102218

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

python-api-dictionaries-lab-nyc-career-ds-102218