moocsl

JupyterNotebookGuide.ipynb

notebooks.json

{
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    "notebooks/01_tabular_data_exploration_ex_01.ipynb",
    "notebooks/02_numerical_pipeline_cross_validation.ipynb",
    "notebooks/02_numerical_pipeline_ex_00.ipynb",
    "notebooks/02_numerical_pipeline_ex_01.ipynb",
    "notebooks/02_numerical_pipeline_hands_on.ipynb",
    "notebooks/02_numerical_pipeline_introduction.ipynb",
    "notebooks/02_numerical_pipeline_scaling.ipynb",
    "notebooks/03_categorical_pipeline.ipynb",
    "notebooks/03_categorical_pipeline_column_transformer.ipynb",
    "notebooks/03_categorical_pipeline_ex_01.ipynb",
    "notebooks/03_categorical_pipeline_ex_02.ipynb",
    "notebooks/cross_validation_baseline.ipynb",
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    "notebooks/cross_validation_ex_03.ipynb",
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    "notebooks/datasets_ames_housing.ipynb",
    "notebooks/datasets_bike_rides.ipynb",
    "notebooks/datasets_blood_transfusion.ipynb",
    "notebooks/datasets_california_housing.ipynb",
    "notebooks/dev_features_importance.ipynb",
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    "notebooks/linear_models_ex_01.ipynb",
    "notebooks/linear_models_ex_02.ipynb",
    "notebooks/linear_models_ex_03.ipynb",
    "notebooks/linear_models_ex_04.ipynb",
    "notebooks/linear_models_ex_05.ipynb",
    "notebooks/linear_models_regularization.ipynb",
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    "notebooks/linear_regression_non_linear_link.ipynb",
    "notebooks/linear_regression_without_sklearn.ipynb",
    "notebooks/logistic_regression.ipynb",
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    "notebooks/parameter_tuning_grid_search.ipynb",
    "notebooks/parameter_tuning_manual.ipynb",
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    "notebooks/parameter_tuning_randomized_search.ipynb",
    "notebooks/trees_classification.ipynb",
    "notebooks/trees_dataset.ipynb",
    "notebooks/trees_ex_01.ipynb",
    "notebooks/trees_ex_02.ipynb",
    "notebooks/trees_hyperparameters.ipynb",
    "notebooks/trees_regression.ipynb",
    "notebooks/video_pipeline.ipynb"
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  "datasets": [
    "datasets/README.md",
    "datasets/adult-census-numeric-all.csv",
    "datasets/adult-census-numeric-test.csv",
    "datasets/adult-census-numeric.csv",
    "datasets/adult-census.csv",
    "datasets/ames_housing_no_missing.csv",
    "datasets/bike_rides.csv",
    "datasets/blood_transfusion.csv",
    "datasets/cps_85_wages.csv",
    "datasets/financial-data",
    "datasets/house_prices.csv",
    "datasets/penguins.csv",
    "datasets/penguins_classification.csv",
    "datasets/penguins_regression.csv"
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    "evaluation/linear_models_questions.ipynb",
    "evaluation/trees_questions.ipynb",
    "evaluation/predictive_modeling_pipeline_questions.ipynb",
    "evaluation/overfit_questions.ipynb",
    "evaluation/tuning_questions.ipynb",
    "evaluation/evaluation_questions.ipynb",
    "evaluation/sandbox_notebook.ipynb"
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}