https://amueller.github.io/COMS4995-s18/slides/
.ipynb_checkpoints
aml-01-011718-introduction
aml-02-012218-python-git-testing
aml-03-012418-matplotlib
aml-04-012918-supervised-learning
aml-05-013118-linear-models-regression
aml-06-020518-linear-models-classification
aml-07-020718-preprocessing
aml-08-021218-imputation-feature-selection
aml-09-021418-support-vector-machines
aml-10-021918-trees-forests
aml-11-022118-gradient-boosting-calibration
aml-12-022618-model-evaluation
aml-13-022818-resampling-imbalanced-data
aml-15-031918-pca-discriminants-manifold-learning
aml-16-032118-clustering-and-mixture-models
aml-17-032818-clustering-evaluation