589689.xyz

[] Skillshare - Machine Learning on AWS SageMaker for Beginners

  • 收录时间:2021-11-27 00:26:19
  • 文件大小:2GB
  • 下载次数:1
  • 最近下载:2021-11-27 00:26:19
  • 磁力链接:

文件列表

  1. 30-lab_018a_univariate_and_multivariate_analysis.mkv 84MB
  2. 10-009___supervised_learning.mkv 67MB
  3. 38-lab_25___accessing_pca_model_attributes.mkv 63MB
  4. 29-lab_017___exploratory_data_analysis.mkv 62MB
  5. 35-lab_22___problem_statement_and_data_import.mkv 62MB
  6. 04-003_cloud_computing_services.mkv 55MB
  7. 31-lab_018b_univariate_and_multivariate_analysis.mkv 53MB
  8. 28-lab__016___problem_statement_and_data_import.mkv 52MB
  9. 23-lab_11b___data_cleaning___part___ii.mkv 48MB
  10. 36-lab_23___exploratory_data_analysis.mkv 47MB
  11. 41-lab_28__accessing_k_means_model_attributes.mkv 47MB
  12. 15-lab_003___create_a_notebook_instance.mkv 41MB
  13. 22-lab_11a___data_cleaning_part___i.mkv 40MB
  14. 03-002__what_is_cloud_computing.mkv 39MB
  15. 25-lab_13___training_model_in_sagemaker.mkv 37MB
  16. 21-lab_10___exploratory_data_analysis.mkv 36MB
  17. 39-lab_26___model_deployment_and_conclusion_analysis.mkv 35MB
  18. 01-introduction_to_course.mkv 33MB
  19. 13-lab_001___create_aws_account.mkv 32MB
  20. 20-lab_09___importing_dataset_to_jupyter_notebook.mkv 30MB
  21. 02-001___what_is_cloud.mkv 30MB
  22. 27-lab_15___survival_prediction_and_deleting_endpoints.mkv 29MB
  23. 09-008_applications_of_ml.mkv 29MB
  24. 34-lab_21___price_prediction_and_deleting_the_endpoints.mkv 28MB
  25. 26-lab_14___deploying_model.mkv 28MB
  26. 47-lab_34___training_the_model.mkv 27MB
  27. 40-lab_27___data_modelling_k_means_algorithm.mkv 26MB
  28. 14-lab_002_web_console_overview.mkv 26MB
  29. 19-lab_08___titanic_problem_statement.mkv 25MB
  30. 08-007__machine_learning_workflow.mkv 24MB
  31. 18-lab_006___import_datasets_from_s3_to_jupyter_notebook_in_sagemake.mkv 22MB
  32. 06-005___what_is_machine_learning.mkv 22MB
  33. 17-lab_005____upload_dataset_to_s3_bucket.mkv 21MB
  34. 33-lab_20___model_training_job_in_sagemaker.mkv 20MB
  35. 37-lab_24___data_modelling.mkv 19MB
  36. 11-010___unsupervised_learning.mkv 19MB
  37. 07-006___traditional_approach_vs.mkv 19MB
  38. 12-011___reinforcement_learning.mkv 19MB
  39. 43-lab_30_problem_statement_and_environment_setup.mkv 18MB
  40. 46-lab_33___xgboost_and_training_dataset_transformation.mkv 18MB
  41. 05-004___why_cloud_computing.mkv 17MB
  42. 32-lab_019_splitting_dataset_into_train_and_test.mkv 16MB
  43. 24-lab___12_spliting_dataset_into_train_and_test_data.mkv 15MB
  44. 16-lab_004____spinning_jupyter_notebook_in_sagemaker.mkv 15MB
  45. 44-lab_31___download_and_import_the_dataset.mkv 15MB
  46. 48-lab_35___model_deployment_and_validation.mkv 12MB
  47. 45-lab_32___exploring_the_trainin_dataset.mkv 10MB
  48. 42-lab_29___conclusion_anddeleting_endpoints.mkv 6MB
  49. 0. Websites you may like/[CourseClub.Me].url 122B
  50. [CourseClub.Me].url 122B
  51. 0. Websites you may like/[GigaCourse.Com].url 49B
  52. [GigaCourse.Com].url 49B