MLOps:该回购用于MLOps上的Udemy课程
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2021-03-30
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MLOps:该回购用于MLOps上的Udemy课程 （145个子文件） 
train.csv 450KB test.csv 441KB titanic.csv 40KB titanic.csv 40KB titanic.csv 40KB sample_submission.csv 31KB Dockerfile 471B .dockerignore 98B .gitattributes 66B .gitignore 2KB MANIFEST.in 470B MANIFEST.in 364B tox.ini 592B tox.ini 544B Predicting-Survival-Titanic-Assignement.ipynb 171KB Predicting-Survival-Titanic-Solution.ipynb 62KB Predicting-Survival-Titanic-Notebook.ipynb 23KB Predicting-Survival-Titanic-Notebook.ipynb 20KB input_test.json 2KB settings.json 68B settings.json 68B settings.json 68B LICENSE 2KB Makefile 621B README.md 253B README.md 54B
04.1 ProductionCode_AllSlides.pdf 1.79MB 04.4_MachineLearningModelPipeline_ModelBuilding.pdf 690KB 03.2_ML_System_Challenges_Key_Principles.pdf 534KB 04.1_MachineLearningModelPipeline_Overview.pdf 508KB 12.1_Introduction.pdf 487KB 10.1_Introduction.pdf 480KB 04.3_MachineLearningModelPipeline_FeatureSelection.pdf 469KB 08.1_Introduction.pdf 419KB 03.4_Architecture_Component_Breakdown.pdf 414KB 07.1_Introduction.pdf 386KB 11.1_Introduction.pdf 377KB 06.1_Introduction.pdf 366KB 06.9_Wrap_up.pdf 363KB 03.1_ML_System_Architecture_Introduction.pdf 360KB 08.6_WrapUp.pdf 356KB 07.7_WrapUp.pdf 356KB 05.7 Engineering and Python Best Practices.pdf 332KB 12.3a_ECS_Overview.pdf 284KB 04.5_MachineLearningModelPipeline_AdditionalResources.pdf 265KB 05.1_Introduction.pdf 258KB 11.6_WrapUp.pdf 227KB 12.15_WrapUp.pdf 225KB 12.3b_Why_ECS.pdf 221KB 10.6_WrapUp.pdf 219KB 09.1_Introduction.pdf 215KB 05.8_WrapUp.pdf 209KB 09.5_WrapUp.pdf 207KB 12.2_Costs.pdf 203KB 05.4_OSConsiderations.pdf 202KB 05.3_FollowingTheCourse.pdf 130KB 03.3_ML_System_Architecture_Approaches.pdf 122KB 05.5_VirtualenvRefresher.pdf 114KB 13_BigDataAndCNN.pdf 551KB 03.5_BuildingReproducibleMLPipelines.pdf 507KB 04.2_MachineLearningModelPipeline_FeatureEngineering.pdf 416KB logistic_regression.pkl 895B scaler.pkl 873B
1.png 40KB 1.png 28KB Procfile 95B preprocessors.py 5KB validation.py 4KB data_management.py 4KB preprocessors.py 4KB controller.py 3KB preprocessing_functions.py 3KB test_controller.py 3KB model.py 3KB setup.py 3KB setup.py 2KB config.py 2KB predict.py 2KB test_differential.py 2KB data_management.py 2KB score.py 2KB config.py 2KB pipeline.py 1KB config.py 1KB preprocessors.py 1KB train.py 1KB predict.py 1KB validation.py 1KB features.py 1015B train_pipeline.py 981B test_predict.py 973B capture_model_predictions.py 967B test_validation.py 914B load_and_save_dataset.py 887B load_and_save_dataset.py 887B config.py 821B train_pipeline.py 789B predict.py 771B test_predict.py 561B logging_config.py 545B共 145 条
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