Pinned Repositories
morgangoode's Repositories
morgangoode/dsc-central-limit-theorem
morgangoode/dsc-confusion-matrices
morgangoode/dsc-context-free-grammars-codealong
morgangoode/dsc-corpus-statistics-lab
morgangoode/dsc-decision-trees-lab
morgangoode/dsc-decision-trees-with-sklearn-codealong
morgangoode/dsc-distance-metrics
morgangoode/dsc-distance-metrics-lab
morgangoode/dsc-fitting-a-logistic-regression-model-lab
morgangoode/dsc-ID3-trees-lab
morgangoode/dsc-k-nearest-neighbors-lab
morgangoode/dsc-knn-with-scikit-learn-lab
morgangoode/dsc-logistic-regression-in-scikit-learn
morgangoode/dsc-logistic-regression-in-scikit-learn-lab
morgangoode/dsc-logistic-regression-model-comparisons-lab
morgangoode/dsc-market-segmentation-clustering-lab
morgangoode/dsc-ml-interp-explaining-blackboxes
A code-along lesson that guides students to explain a neural network.
morgangoode/dsc-ml-interp-interpreting-whiteboxes
A lesson describing machine learning interpretation for white-box models.
morgangoode/dsc-pipelines-lab-v2-1
morgangoode/dsc-pipelines-v2-1
morgangoode/dsc-refactoring-with-pipelines
morgangoode/dsc-regression-cart-trees-lab
morgangoode/dsc-regular-expressions-codealong
morgangoode/dsc-scalars-vectors-matrices-tensors-codealong
morgangoode/dsc-statistical-methods-in-pandas-lab
morgangoode/dsc-tree-ensembles-random-forests-lab
morgangoode/dsc-tuning-decision-trees-lab
morgangoode/dsc-tuning-neural-networks-from-start-to-finish-lab-v2-1
morgangoode/dsc-tuning-neural-networks-with-normalization-lab-v2-1
morgangoode/dsc-visualizing-confusion-matrices-lab