Week 1: Explore the Use Case and Analyze the Dataset-A conversation with: Andrew Ng, Antje Barth, Shelbee Eigenbrode and Sireesha Muppala
Specialization overview
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Week 1: Explore the Use Case and Analyze the Dataset-Introduction to Practical Data Science
Welcome
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Practical Data Science
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Use case and data set
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Week 1: Explore the Use Case and Analyze the Dataset-Working with data
Data ingestion and exploration
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Data visualization
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Week 1 summary
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Additional reading material
Week 1: Explore the Use Case and Analyze the Dataset-Lecture Notes (Optional)
Lecture Notes W1
Week 1: Explore the Use Case and Analyze the Dataset-Practice
Lab Budget Exceeding Issue
Week 2: Data Bias and Feature Importance-Statistical bias and feature importance
Introduction
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Statistical bias
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Statistical bias causes
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Measuring statistical bias
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Detecting statistical bias
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Detect statistical bias with Amazon SageMaker Clarify
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Approaches to statistical bias detection
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Feature importance: SHAP
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Summary
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Additional reading material
Week 2: Data Bias and Feature Importance-Lecture Notes (Optional)
Lecture Notes W2
Week 3: Use Automated Machine Learning to train a Text Classifier-Automated Machine Learning
Introduction
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Automated Machine Learning (AutoML)
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AutoML Workflow
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Amazon SageMaker Autopilot
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Running experiments with Amazon SageMaker Autopilot
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Amazon SageMaker Autopilot: evaluating output
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Amazon SageMaker Autopilot demo
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Model hosting
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Week 3 summary
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Additional reading material
Week 3: Use Automated Machine Learning to train a Text Classifier-Lecture Notes (Optional)
Lecture Notes W3
Week 4: Built-in algorithms-Built in algorithms
Introduction
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Built in algorithms
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Use cases and algorithms
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Text analysis
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Train a text classifier
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Deploy the text classifier
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Week 4 summary
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Additional reading material
Week 4: Built-in algorithms-Lecture Notes (Optional)
Lecture Notes W4
Week 4: Built-in algorithms-End of access to Lab Notebooks
[IMPORTANT] Reminder about end of access to Lab Notebooks
Week 4: Built-in algorithms-Course Resources
Course 1 Optional References
Week 4: Built-in algorithms-Acknowledgements
Acknowledgements