FreeCourseWeb Udemy Machine Learning on AWS SageMaker for Beginners

FreeCourseWeb Udemy Machine Learning on AWS SageMaker for Beginners
     Get Bonus Downloads Here.url -


     01-introduction_to_course.mkv -


     02-001___what_is_cloud.mkv -


     03-002__what_is_cloud_computing.mkv -


     04-003_cloud_computing_services.mkv -


     05-004___why_cloud_computing.mkv -


     06-005___what_is_machine_learning.mkv -


     07-006___traditional_approach_vs.mkv -


     08-007__machine_learning_workflow.jpeg -


     08-007__machine_learning_workflow.mkv -


     09-008_applications_of_ml.mkv -


     10-009___supervised_learning.mkv -


     11-010___unsupervised_learning.mkv -


     12-011___reinforcement_learning.mkv -


     13-lab_001___create_aws_account.mkv -


     14-lab_002_web_console_overview.mkv -


     15-lab_003___create_a_notebook_instance.mkv -


     16-lab_004____spinning_jupyter_notebook_in_sagemaker.mkv -


     17-lab_005____upload_dataset_to_s3_bucket.mkv -


     18-lab_006___import_datasets_from_s3_to_jupyter_notebook_in_sagemake.mkv -


     19-lab_08___titanic_problem_statement.mkv -


     20-lab_09___importing_dataset_to_jupyter_notebook.mkv -


     21-lab_10___exploratory_data_analysis.mkv -


     22-lab_11a___data_cleaning_part___i.mkv -


     23-lab_11b___data_cleaning___part___ii.mkv -


     24-lab___12_spliting_dataset_into_train_and_test_data.mkv -


     25-lab_13___training_model_in_sagemaker.mkv -


     26-lab_14___deploying_model.mkv -


     27-lab_15___survival_prediction_and_deleting_endpoints.mkv -


     28-lab__016___problem_statement_and_data_import.mkv -


     29-lab_017___exploratory_data_analysis.mkv -


     30-lab_018a_univariate_and_multivariate_analysis.mkv -


     31-lab_018b_univariate_and_multivariate_analysis.mkv -


     32-lab_019_splitting_dataset_into_train_and_test.mkv -


     33-lab_20___model_training_job_in_sagemaker.mkv -


     34-lab_21___price_prediction_and_deleting_the_endpoints.mkv -


     35-lab_22___problem_statement_and_data_import.mkv -


     36-lab_23___exploratory_data_analysis.mkv -


     37-lab_24___data_modelling.mkv -


     38-lab_25___accessing_pca_model_attributes.mkv -


     39-lab_26___model_deployment_and_conclusion_analysis.mkv -


     40-lab_27___data_modelling_k_means_algorithm.mkv -


     41-lab_28__accessing_k_means_model_attributes.mkv -


     42-lab_29___conclusion_anddeleting_endpoints.mkv -


     43-lab_30_problem_statement_and_environment_setup.mkv -


     44-lab_31___download_and_import_the_dataset.mkv -


     45-lab_32___exploring_the_trainin_dataset.mkv -


     46-lab_33___xgboost_and_training_dataset_transformation.mkv -


     47-lab_34___training_the_model.mkv -


     48-lab_35___model_deployment_and_validation.mkv -


     Bonus Resources.txt -


     skillshare.machine.learning.on.aws.sagemaker.for.beginners-skilledhares-sample.mkv -

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