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FreeCourseWeb Udemy Machine Learning on AWS SageMaker for Beginners

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Type: Tutorials
Language: English
Category: Other
Size: 1.5 GB
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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 01-introduction_to_course.mkv 32.7 MB
  3. 02-001___what_is_cloud.mkv 29.5 MB
  4. 03-002__what_is_cloud_computing.mkv 39.1 MB
  5. 04-003_cloud_computing_services.mkv 55.2 MB
  6. 05-004___why_cloud_computing.mkv 17.0 MB
  7. 06-005___what_is_machine_learning.mkv 22.0 MB
  8. 07-006___traditional_approach_vs.mkv 18.7 MB
  9. 08-007__machine_learning_workflow.jpeg 167.2 KB
  10. 08-007__machine_learning_workflow.mkv 23.9 MB
  11. 09-008_applications_of_ml.mkv 28.6 MB
  12. 10-009___supervised_learning.mkv 67.2 MB
  13. 11-010___unsupervised_learning.mkv 18.8 MB
  14. 12-011___reinforcement_learning.mkv 18.7 MB
  15. 13-lab_001___create_aws_account.mkv 31.9 MB
  16. 14-lab_002_web_console_overview.mkv 25.7 MB
  17. 15-lab_003___create_a_notebook_instance.mkv 41.3 MB
  18. 16-lab_004____spinning_jupyter_notebook_in_sagemaker.mkv 15.4 MB
  19. 17-lab_005____upload_dataset_to_s3_bucket.mkv 21.4 MB
  20. 18-lab_006___import_datasets_from_s3_to_jupyter_notebook_in_sagemake.mkv 22.4 MB
  21. 19-lab_08___titanic_problem_statement.mkv 25.0 MB
  22. 20-lab_09___importing_dataset_to_jupyter_notebook.mkv 30.4 MB
  23. 21-lab_10___exploratory_data_analysis.mkv 35.6 MB
  24. 22-lab_11a___data_cleaning_part___i.mkv 39.6 MB
  25. 23-lab_11b___data_cleaning___part___ii.mkv 48.2 MB
  26. 24-lab___12_spliting_dataset_into_train_and_test_data.mkv 15.5 MB
  27. 25-lab_13___training_model_in_sagemaker.mkv 36.9 MB
  28. 26-lab_14___deploying_model.mkv 27.9 MB
  29. 27-lab_15___survival_prediction_and_deleting_endpoints.mkv 28.6 MB
  30. 28-lab__016___problem_statement_and_data_import.mkv 52.4 MB
  31. 29-lab_017___exploratory_data_analysis.mkv 62.1 MB
  32. 30-lab_018a_univariate_and_multivariate_analysis.mkv 84.0 MB
  33. 31-lab_018b_univariate_and_multivariate_analysis.mkv 52.7 MB
  34. 32-lab_019_splitting_dataset_into_train_and_test.mkv 16.5 MB
  35. 33-lab_20___model_training_job_in_sagemaker.mkv 19.9 MB
  36. 34-lab_21___price_prediction_and_deleting_the_endpoints.mkv 28.3 MB
  37. 35-lab_22___problem_statement_and_data_import.mkv 62.1 MB
  38. 36-lab_23___exploratory_data_analysis.mkv 47.2 MB
  39. 37-lab_24___data_modelling.mkv 19.0 MB
  40. 38-lab_25___accessing_pca_model_attributes.mkv 63.0 MB
  41. 39-lab_26___model_deployment_and_conclusion_analysis.mkv 34.9 MB
  42. 40-lab_27___data_modelling_k_means_algorithm.mkv 26.1 MB
  43. 41-lab_28__accessing_k_means_model_attributes.mkv 46.5 MB
  44. 42-lab_29___conclusion_anddeleting_endpoints.mkv 5.8 MB
  45. 43-lab_30_problem_statement_and_environment_setup.mkv 18.5 MB
  46. 44-lab_31___download_and_import_the_dataset.mkv 15.0 MB
  47. 45-lab_32___exploring_the_trainin_dataset.mkv 9.8 MB
  48. 46-lab_33___xgboost_and_training_dataset_transformation.mkv 18.2 MB
  49. 47-lab_34___training_the_model.mkv 26.7 MB
  50. 48-lab_35___model_deployment_and_validation.mkv 12.0 MB
  51. Bonus Resources.txt 357 bytes
  52. skillshare.machine.learning.on.aws.sagemaker.for.beginners-skilledhares-sample.mkv 7.0 MB

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