├── .gitignore ├── README.md ├── chap02 └── Decision_boundary.ipynb ├── chap03 └── AUC_ROC.ipynb ├── chap07 └── all.ipynb ├── chap08 └── understanding_prediction_results.ipynb ├── chap09 ├── kickstarter_clawler.py ├── kickstarter_result_to_csv.py └── kickstarter_slide.pptx ├── chap10 ├── Kevin_Hillstrom_MineThatData_E-MailAnalytics.ipynb ├── LR-forbook.ipynb └── source_data.csv └── chap11 ├── 01_bandit_test.ipynb ├── 02_bandit_algorithm_compare.ipynb └── 03_contextual_bandit.ipynb /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/README.md -------------------------------------------------------------------------------- /chap02/Decision_boundary.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap02/Decision_boundary.ipynb -------------------------------------------------------------------------------- /chap03/AUC_ROC.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap03/AUC_ROC.ipynb -------------------------------------------------------------------------------- /chap07/all.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap07/all.ipynb -------------------------------------------------------------------------------- /chap08/understanding_prediction_results.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap08/understanding_prediction_results.ipynb -------------------------------------------------------------------------------- /chap09/kickstarter_clawler.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap09/kickstarter_clawler.py -------------------------------------------------------------------------------- /chap09/kickstarter_result_to_csv.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap09/kickstarter_result_to_csv.py -------------------------------------------------------------------------------- /chap09/kickstarter_slide.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap09/kickstarter_slide.pptx -------------------------------------------------------------------------------- /chap10/Kevin_Hillstrom_MineThatData_E-MailAnalytics.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap10/Kevin_Hillstrom_MineThatData_E-MailAnalytics.ipynb -------------------------------------------------------------------------------- /chap10/LR-forbook.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap10/LR-forbook.ipynb -------------------------------------------------------------------------------- /chap10/source_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap10/source_data.csv -------------------------------------------------------------------------------- /chap11/01_bandit_test.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap11/01_bandit_test.ipynb -------------------------------------------------------------------------------- /chap11/02_bandit_algorithm_compare.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap11/02_bandit_algorithm_compare.ipynb -------------------------------------------------------------------------------- /chap11/03_contextual_bandit.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/oreilly-japan/ml-at-work/HEAD/chap11/03_contextual_bandit.ipynb --------------------------------------------------------------------------------