morgangoode

dsc-central-limit-theorem

dsc-confusion-matrices

dsc-context-free-grammars-codealong

dsc-corpus-statistics-lab

dsc-decision-trees-lab

dsc-decision-trees-with-sklearn-codealong

dsc-distance-metrics

dsc-distance-metrics-lab

dsc-fitting-a-logistic-regression-model-lab

dsc-ID3-trees-lab

dsc-k-nearest-neighbors-lab

dsc-knn-with-scikit-learn-lab

dsc-logistic-regression-in-scikit-learn

dsc-logistic-regression-in-scikit-learn-lab

dsc-logistic-regression-model-comparisons-lab

dsc-market-segmentation-clustering-lab

dsc-ml-interp-explaining-blackboxes

A code-along lesson that guides students to explain a neural network.

dsc-ml-interp-interpreting-whiteboxes

A lesson describing machine learning interpretation for white-box models.

dsc-pipelines-lab-v2-1

dsc-pipelines-v2-1

dsc-refactoring-with-pipelines

dsc-regression-cart-trees-lab

dsc-regular-expressions-codealong

dsc-scalars-vectors-matrices-tensors-codealong

dsc-statistical-methods-in-pandas-lab

dsc-tree-ensembles-random-forests-lab

dsc-tuning-decision-trees-lab

dsc-tuning-neural-networks-from-start-to-finish-lab-v2-1

dsc-tuning-neural-networks-with-normalization-lab-v2-1

dsc-visualizing-confusion-matrices-lab