Microsoft Certified: Azure Data Scientis

This repository contains the courses, modules, lectures, and other preparation material for Microsoft Certified: Azure Data Scientist Associate.

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Course 1: Create Machine Learning Models

This couse contains five modules as follows:

1. Module 1: Explore And Analyze Data With Python
2. Module 2: Trainand Evaluate Regression Models
3. Module 3: Train and Evaluate Classification Models
4. Module 4: Train and Evaluate Clustering Models
5. Module 5: Train and Evaluate Deep Learning Models

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Course2: Microsoft Azure AI Fundamentals

This couse contains four modules as follows:

1. Module 1: Use Automated Machine Learning In Azure Machine Learning
2. Module 2: Create a Regression Model with Azure Machine Learning
3. Module 3: Create A Classification Model With Azure Machine Learning Designer
4. Module 4: Create A Clustering Model With Azure Machine Learning Designer

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Course 3: Build and Operate Machine Learning Solutions With Azure Machine Learning

This couse contains fifteen modules as follows:

1. Module 1: Introduction To The Azure Machine Learning SDK
2. Module 2: Train A Machine Learning Model With Azure Machine Learning
3. Module 3: Work With Data In Azure Machine Learning
4. Module 4: Work With Compute In Azure Machine Learning
5. Module 5: Orchestrate Machine Learning with Pipelines
6. Module 6: Deployreal_Time Machine Learning Services with Azure Machine Learning
7. Module 7: Deploy Batch Inference Pipelines with Azure Machine Learning
8. Module 8: Tune Hyperparameters with Azure Machine Learning
9. Module 9: Automate Machine Learning Model Selection with Azure Machine Learning
10. Module 10: Explore Differential Privacy
11. Module 11: Explain Machine Learning Models with Azure Machine Learning
12. Module 12: Detect and Mitigate Unfairness_in Models with Azure Machine Learning
13. Module 13: Monitor Models with Azure Machine Learning
14. Module 14: Monitor Data Drift with Azure Machine Learning
15. Module 15: Explore Security Concepts in Azure Machine Learning

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Course 4: Build and Operate Machine Learning Solutions with Azure Databricks

1. Module 1: Get Started with Azure Databricks
2. Module 2: Work with Data in Azure Databricks
3. Module 3: Prepare Data for Machine Learning with Azure Databricks
4. Module 4: Train a Machine Learning Model with Azure Databricks
5. Module 5: Use ML Flow to Track Experiments in Azure Databricks
6. Module 6: Manage Machine Learning Models in Azure Databrick
7. Module 7: Track Azure Databricks Experiments in Azure Machine Learning
8. Module 8: Deploy Azure Databricks Models in Azure Machine Learning
9. Module 9: Tune Hyperparameters with Azure Databricks
10. Module 10: Distributed Deep Learning with Horovod and Azure Databricks

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