https://amueller.github.io/COMS4995-s19/slides/
aml-01-introduction
aml-02-python-git-testing
aml-03-matplotlib
aml-04-supervised-learning
aml-05-preprocessing
aml-06-linear-models-regression
aml-07-linear-models-classification
aml-08-trees-forests
aml-09-gradient-boosting-calibration
aml-10-model-evaluation
aml-11-resampling-imbalanced-data
aml-12-interpretation-feature-selection
aml-13-parameter-tuning-automl
aml-14-dimensionality-reduction
aml-15-clustering-and-mixture-models
aml-16-nmf-outlier-detection
aml-17-text-data
aml-18-topic-models
aml-19-word-embeddings
aml-20-neural-networks
aml-21-convolutional-nets
aml-22-advanced-nets
aml-24-time-series