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/Chapter17/

test.txt

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adult.csv

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bank-full.csv

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/Chapter03/.ipynb_checkpoints/

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Activity-checkpoint.ipynb

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/Chapter01/

vcs.xml

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misc.xml

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modules.xml

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Data-Science-in-Python-the-Simple-Way.iml

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/Chapter01/Dataset/

csv_example.csv

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json_example.json

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overall_topten_2012-2013.tsv

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overall_topten_2012-2013.csv

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excel_example.xlsx

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overall_topten_2012-2013.xlsx

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tas_1991_2016_AUS_Activity.csv

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tas_1991_2016_AUS.csv

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dataset_44_spambase.csv

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AB_NYC_2019.csv

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/Data [Code Files]/

Pipfile

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LICENSE

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.gitignore

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README.md

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Pipfile.lock

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/Chapter03/Activity3.01/

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/Chapter10/Exercise10.01/

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/Chapter03/Exercise3.02/

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/Chapter03/Exercise3.01/

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/Chapter08/Exercise8.01/

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/Chapter03/Exercise3.06/

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/Chapter14/Activity14.01/

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/Chapter13/Activity13.01/

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/Chapter14/Exercise14.01/

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/Chapter15/Exercise15.07/

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/Chapter15/Exercise15.05/

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/Chapter15/Exercise15.06/

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/Chapter15/Exercise15.02/

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/Chapter15/Exercise15.04/

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/Chapter15/Activity15.01/

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/Chapter13/Exercise13.01/

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/Chapter15/Activity15.02/

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Activity_15_02_Comparison_of_ensemble_learning_techniques.ipynb

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/Chapter14/Exercise14.06/

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/Chapter15/Exercise15.01/

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/Chapter13/Exercise13.03/

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/Chapter13/Exercise13.04/

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/Chapter15/Exercise15.03/

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/Chapter14/Activity14.02/

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/Chapter14/Exercise14.03/

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/Chapter14/Exercise14.02/

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/Chapter14/Exercise14.04/

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/Chapter14/Exercise14.05/

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/Chapter13/Exercise13.02/

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Exercise_13_02_Logistic_Regression_Model_with_Random_Under_sampling_v1_0.ipynb

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/Chapter10/Activity10.1/

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Activity10_1.ipynb

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/Chapter10/Exercise10.02/

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/Chapter10/Exercise10.03/

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/Chapter01/Exercise1.03/

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/Chapter05/Exercise5.01/

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/Chapter08/Exercise8.02/

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/Chapter11/Exercise11.03/

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/Chapter05/Exercise5.02/

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Exercise5_2.ipynb

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/Chapter03/Exercise3.05/

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/Chapter16/Exercise16.01/

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Exercise_16_01_Loading_and_cleaning_data_v2_0.ipynb

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/Chapter16/Exercise16.04/

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Exercise_16_04_Model_building_using_Pipeline_v1_0.ipynb

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/Chapter16/Exercise16.02/

Test_16_02.py

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Exercise_16_02_Preprocessing_using_ML_pipeline_v1_0.ipynb

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/Chapter11/Exercise11.01/

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/Chapter16/Exercise16.03/

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Exercise_16_03_Dimensionality_Reduction_using_ML_pipeline_v1_0.ipynb

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/Chapter16/Exercise16.05/

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Exercise_16_05_Spot_checking_multiple_models_using_Pipeline_v1_0.ipynb

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/Chapter16/Exercise16.06/

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Exercise_16_06_Grid_search_and_cross_validation_using_Pipeline_v1_0.ipynb

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/Chapter03/Exercise3.03/

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/Chapter12/Exercise12.02/

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/Chapter08/Examples/

setting_hyperparameters.ipynb

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tuning_using_randomizedsearchcv.ipynb

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simple_demonstration_of_the_grid_search_strategy.ipynb

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distributions.ipynb

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tuning_using_gridsearchcv.ipynb

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simple_demonstration_of_the_random_search_process.ipynb

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classify-mushrooms.ipynb

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/Chapter11/Exercise11.04/

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/Chapter16/Activity16.01/

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/Chapter06/Exercise6.01/

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/Chapter17/Activity17.01/

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/Chapter12/Exercise12.01/

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/Chapter06/Dataset/

caesarian.csv.arff

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bank-additional-names.txt

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qsar_fish_toxicity.csv

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car.data

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bank-additional.csv

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bank-additional-full.csv

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/Chapter01/Exercise1.01/

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/Chapter17/Exercise17.02/

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/Chapter16/Dataset/

crx.names

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heart-disease.names

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processed.cleveland.data

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crx.data

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/Chapter17/Exercise17.01/

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/Chapter12/Exercise12.04/

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/Chapter05/Exercise5.06/

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/Chapter03/Activity3.02/

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/Chapter03/Exercise3.04/

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/Chapter18/Exercise18.01/

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ad.DOCUMENTATION

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ad.data

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So A. The Data Science Workshop 2020.djvu

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