data-science-workshop-2019 （252个子文件） 
webfont-ubuntu-mono-400-700-400italic.css 6KB webfont-ubuntu-400-300-100.css 4KB slides.css 2KB 20000101_20161231-NO2.csv 5.7MB adult-census.csv 5.69MB vmm_flowdata.csv 854KB titanic.csv 60KB cps_85_wages.csv 33KB randomized_search_results.csv 19KB inflammation-01.csv 5KB brain_size.csv 2KB kmeans_data.csv 1KB
tidyr-spread-gather.gif 789KB .gitignore 1KB
index.html 2KB pandas_05_groupby_operations.ipynb 72KB pandas_04_combining_datasets.ipynb 62KB pandas_03a_indexing.ipynb 49KB 03-matplotib_seaborn.ipynb 31KB 02-pandas_introduction.ipynb 27KB pandas_xx_time_series_data.ipynb 23KB 04_basic_parameters_tuning.ipynb 23KB pandas_06_reshaping_data.ipynb 22KB pandas_01_data_structures.ipynb 19KB 02_basic_preprocessing.ipynb 18KB 03_basic_preprocessing_categorical_variables.ipynb 18KB pandas_03b_selecting_data.ipynb 15KB 01_tabular_data_exploration.ipynb 14KB pandas_02_basic_operations.ipynb 14KB k_means.ipynb 11KB k_means.ipynb 10KB slices.ipynb 7KB 04_basic_parameters_tuning_exercise_02_solution.ipynb 7KB slices.ipynb 7KB 03_basic_preprocessing_categorical_variables_exercise_02_solution.ipynb 7KB dataset_intro.ipynb 6KB dataset_intro.ipynb 6KB operations.ipynb 6KB operations.ipynb 5KB 03_basic_preprocessing_categorical_variables_exercise_01_solution.ipynb 5KB numpy_intro.ipynb 5KB numpy_intro.ipynb 5KB 03_basic_preprocessing_categorical_variables_exercise_02.ipynb 4KB 04_basic_parameters_tuning_exercise_01_solution.ipynb 4KB 04_basic_parameters_tuning_exercise_02.ipynb 4KB boolean_mask.ipynb 4KB boolean_mask.ipynb 4KB 01-numpy-introduction.ipynb 4KB 01-numpy-introduction.ipynb 3KB 04_basic_parameters_tuning_exercise_01.ipynb 3KB filtering_data.ipynb 3KB filtering_data.ipynb 3KB 02_basic_preprocessing_exercise_01_solution.ipynb 3KB test_yourself.ipynb 3KB fancy_indexing.ipynb 3KB fancy_indexing.ipynb 3KB test_yourself.ipynb 3KB savez.ipynb 3KB savez.ipynb 3KB 03_basic_preprocessing_categorical_variables_exercise_01.ipynb 2KB stacking.ipynb 2KB stacking.ipynb 2KB 02_basic_preprocessing_exercise_01.ipynb 2KB broadcasting.ipynb 2KB broadcasting.ipynb 1KB
postit.jpg 3KB remark.min.js 621KB LICENSE 2KB spectra.mat 2.72MB README.md 4KB README.md 436B README.md 130B README.md 73B
sphinx-logo.png 228KB logoUPSayPlusCDS_990.png 136KB logoUPSayPlusCDS_990.png 136KB simple-decision-tree-adult-census.png 125KB broadcasting.png 105KB commit_3.png 100KB kmeans_illustration.png 90KB commit_2.png 83KB writing.png 72KB dataframe.png 56KB splitApplyCombine.png 46KB splitApplyCombine.png 46KB git-transport.png 43KB commit_1.png 40KB coding.png 37KB pivot_excel.png 31KB axis.png 10KB plot_overfit_underfit.py 13KB plot-simple-decision-tree-adult-census.py 3KB plot_splines.py 2KB check_env.py 2KB style_figs.py 1KB plot_iris_visualization.py 1KB pandas_07_reshaping_data2.py 299B pandas_07_reshaping_data7.py 251B pandas_04_time_series_data6.py 176B pandas_06_groupby_operations10.py 168B共 252 条
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