├── .gitignore ├── Clustering.ipynb ├── Features.ipynb ├── LICENSE.md ├── Outline.ipynb ├── Pipelines.ipynb ├── README.md ├── TrainTest.ipynb ├── WhatIsML.ipynb ├── data ├── FakeLearning.csv ├── HumansLearning_X.csv ├── HumansLearning_y.csv ├── Learning about Humans learning ML.csv ├── cancer-pipeline.pkl ├── linear_failure.csv └── pets.csv ├── environment-nographviz.yml ├── environment.yml ├── img ├── Anscombe_quartet.png ├── DBSCAN.png ├── DBSCAN.webp ├── DataDino-600x455.gif ├── KFold.png ├── L1_and_L2_balls.png ├── ML-Wikipedia.png ├── README ├── basic-perceptron.png ├── ca-clusters.png ├── inception-v3.png ├── open-notebook.png ├── pipeline-diagram.png ├── ridge_regression_geomteric.png ├── sklearn-topics.png ├── supervised_workflow.png └── train_test_split_matrix.png ├── requirements.txt └── src ├── .ipynb_checkpoints ├── classifier_comparison-checkpoint.py ├── decisiontree_regressor-checkpoint.py ├── linear_failure-checkpoint.py ├── plot_cluster_comparison-checkpoint.py └── time_regressors-checkpoint.py ├── .ropeproject ├── config.py ├── globalnames ├── history └── objectdb ├── __init__.py ├── classifier_comparison.py ├── decisiontree_regressor.py ├── fakify_humans.py ├── linear_failure.py ├── mglearn ├── __init__.py ├── datasets.py ├── make_blobs.py ├── plot_2d_separator.py ├── plot_agglomerative.py ├── plot_animal_tree.py ├── plot_cross_validation.py ├── plot_decomposition.py ├── plot_grid_search.py ├── plot_helpers.py ├── plot_improper_preprocessing.py ├── plot_interactive_tree.py ├── plot_kmeans.py ├── plot_kneighbors_regularization.py ├── plot_knn_classification.py ├── plot_knn_regression.py ├── plot_linear_regression.py ├── plot_linear_svc_regularization.py ├── plot_metrics.py ├── plot_nmf.py ├── plot_nn_graphs.py ├── plot_pca.py ├── plot_rbf_svm_parameters.py ├── plot_scaling.py ├── plot_tree_nonmonotonous.py ├── plots.py └── tools.py ├── over_under_fit.py ├── plot_cluster_comparison.py └── time_regressors.py /.gitignore: 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