DP-100 Microsoft Azure Data Scientist (DS) Exam Preparation

Files Included :
1 -Introduction to Course.mp4 (19.86 MB)
2 -Exam Requirements.mp4 (63.93 MB)
1 -Deploy AutoML.mp4 (84.52 MB)
2 -Create an AutoML Endpoint.mp4 (34.32 MB)
3 -Deploy ML Designer for Real Time.mp4 (41.62 MB)
4 -Deploy SDK Models.mp4 (53.7 MB)
5 -Publish a Pipeline for Batch Inference.mp4 (30.43 MB)
1 -Conclusion.mp4 (3.97 MB)
1 -Create an Azure Machine Learning Workspace.mp4 (47.99 MB)
2 -Azure ML Workspace Settings - Portal.mp4 (43.22 MB)
3 -Azure ML Studio Settings.mp4 (51.23 MB)
1 -Data Stores and Datasets.mp4 (119.7 MB)
2 -Create Additional Datasets.mp4 (80.11 MB)
1 -Create an Experiment Compute Instance.mp4 (46.21 MB)
2 -Manage Multiple Compute Instances.mp4 (42.51 MB)
3 -Create Compute Targets and Clusters.mp4 (40.43 MB)
1 -Creating our First ML Pipeline.mp4 (94.05 MB)
2 -Submitting Pipeline.mp4 (88.44 MB)
3 -Custom Code in Pipeline.mp4 (54.75 MB)
4 -Understanding Complicated Pipeline.mp4 (119.7 MB)
5 -Evaluating Execution Results.mp4 (61.53 MB)
6 -Errors in Azure ML Designer.mp4 (37.5 MB)
7 -Various Modules of Azure ML Designer.mp4 (102.92 MB)
1 -Setup SDK.mp4 (90.39 MB)
2 -Create ML Workspace using SDK.mp4 (61.32 MB)
3 -Simple Program in Python.mp4 (88.8 MB)
1 -Train Model using SDK.mp4 (64.46 MB)
2 -Submit Experiment using SDK.mp4 (48.96 MB)
3 -Create a Pipeline by using SDK.mp4 (113.31 MB)
1 -AutoML Overview.mp4 (92.51 MB)
2 -AutoML with SDK.mp4 (32.26 MB)
1 -Understanding what is Hyperdrive.mp4 (78.27 MB)
2 -Register a Trained Model.mp4 (42.65 MB)
3 -Create Production Compute Targets.mp4 (49.41 MB)]
Screenshot
[Image: c35KYMRR_o.jpg]