| 01-introduction_to_course.mkv | 32.7 MB | ||
| 02-001___what_is_cloud.mkv | 29.5 MB | ||
| 03-002__what_is_cloud_computing.mkv | 39.1 MB | ||
| 04-003_cloud_computing_services.mkv | 55.2 MB | ||
| 05-004___why_cloud_computing.mkv | 17 MB | ||
| 06-005___what_is_machine_learning.mkv | 22 MB | ||
| 07-006___traditional_approach_vs.mkv | 18.7 MB | ||
| 08-007__machine_learning_workflow.mkv | 23.9 MB | ||
| 09-008_applications_of_ml.mkv | 28.6 MB | ||
| 10-009___supervised_learning.mkv | 67.2 MB | ||
| 11-010___unsupervised_learning.mkv | 18.8 MB | ||
| 12-011___reinforcement_learning.mkv | 18.7 MB | ||
| 13-lab_001___create_aws_account.mkv | 31.9 MB | ||
| 14-lab_002_web_console_overview.mkv | 25.7 MB | ||
| 15-lab_003___create_a_notebook_instance.mkv | 41.3 MB | ||
| 16-lab_004____spinning_jupyter_notebook_in_sagemaker.mkv | 15.4 MB | ||
| 17-lab_005____upload_dataset_to_s3_bucket.mkv | 21.4 MB | ||
| 18-lab_006___import_datasets_from_s3_to_jupyter_notebook_in_sagemake.mkv | 22.4 MB | ||
| 19-lab_08___titanic_problem_statement.mkv | 25 MB | ||
| 20-lab_09___importing_dataset_to_jupyter_notebook.mkv | 30.4 MB | ||
| 21-lab_10___exploratory_data_analysis.mkv | 35.6 MB | ||
| 22-lab_11a___data_cleaning_part___i.mkv | 39.6 MB | ||
| 23-lab_11b___data_cleaning___part___ii.mkv | 48.2 MB | ||
| 24-lab___12_spliting_dataset_into_train_and_test_data.mkv | 15.5 MB | ||
| 25-lab_13___training_model_in_sagemaker.mkv | 36.9 MB | ||
| 26-lab_14___deploying_model.mkv | 27.9 MB | ||
| 27-lab_15___survival_prediction_and_deleting_endpoints.mkv | 28.6 MB | ||
| 28-lab__016___problem_statement_and_data_import.mkv | 52.4 MB | ||
| 29-lab_017___exploratory_data_analysis.mkv | 62.1 MB | ||
| 30-lab_018a_univariate_and_multivariate_analysis.mkv | 84 MB | ||
| 31-lab_018b_univariate_and_multivariate_analysis.mkv | 52.7 MB | ||
| 32-lab_019_splitting_dataset_into_train_and_test.mkv | 16.5 MB | ||
| 33-lab_20___model_training_job_in_sagemaker.mkv | 19.9 MB | ||
| 34-lab_21___price_prediction_and_deleting_the_endpoints.mkv | 28.3 MB | ||
| 35-lab_22___problem_statement_and_data_import.mkv | 62.1 MB | ||
| 36-lab_23___exploratory_data_analysis.mkv | 47.2 MB | ||
| 37-lab_24___data_modelling.mkv | 19 MB | ||
| 38-lab_25___accessing_pca_model_attributes.mkv | 63 MB | ||
| 39-lab_26___model_deployment_and_conclusion_analysis.mkv | 34.9 MB | ||
| 40-lab_27___data_modelling_k_means_algorithm.mkv | 26.1 MB | ||
| 41-lab_28__accessing_k_means_model_attributes.mkv | 46.5 MB | ||
| 42-lab_29___conclusion_anddeleting_endpoints.mkv | 5.8 MB | ||
| 43-lab_30_problem_statement_and_environment_setup.mkv | 18.5 MB | ||
| 44-lab_31___download_and_import_the_dataset.mkv | 15 MB | ||
| 45-lab_32___exploring_the_trainin_dataset.mkv | 9.8 MB | ||
| 46-lab_33___xgboost_and_training_dataset_transformation.mkv | 18.2 MB | ||
| 47-lab_34___training_the_model.mkv | 26.7 MB | ||
| 48-lab_35___model_deployment_and_validation.mkv | 12 MB | ||
| Torrent_downloaded_from_Demonoid.is_.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
| ▲ 50 total files | |||
Title: Machine Learning on AWS SageMaker for Beginners
Publisher: Skillshare
Category: Technology
Size: 1545M
Date: 2021-07-06
Course #: 1524525310
Published: Skillshare
Updated: N/A
URL: https://www.skillshare.com/classes/Machine-Learning-on-AWS-SageMaker-for-Beginners/1524525310?category=technology
Author: AMG Inc
Duration: 3h 28m
Exer/Code: [ ]
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
|
Skillshare - Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement Posted by
freecoursewb in Other
|
2.3 GB | freecoursewb | 4 years | 0 | 0 |
| 1.1 GB | freecoursewb | 4 years | 0 | 0 | |
| 1.3 GB | freecoursewb | 4 years | 0 | 0 | |
| 732.1 MB | freecoursewb | 4 years | 0 | 0 | |
|
[ FreeCourseWeb ] Skillshare - Machine Learning - K-Means Clustering Posted by
freecoursewb in Other
|
627.9 MB | freecoursewb | 4 years | 0 | 1 |
All Comments