Introduction to Data Engineering-Introducing Data Garthering Techniques
Course Outline
Introduction to Data Engineering Overview
Welcome to the AWS Machine Learning Specialty Certification Exam course
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Overview of the exam
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Goals of the course
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Machine learning terminology - Data Engineering-Part 1
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Machine learning terminology - Data Engineering-Part 2
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Introduction-Part 1
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Introduction-Part 2
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How to Setup Amazon Sagemaker Environment?
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Gathering data
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Handling Missing Data - Overview and Drop Technique
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Handling Missing Data - Other Imputation Techniques-Part 1
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Handling Missing Data - Other Imputation Techniques-Part 2
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Feature extraction and feature selection-Feature extraction, feature selection with Principal Component Analysis and Variance Thresholds
Feature extraction and feature selection Overview
Feature extraction and feature selection with Principal Component Analysis and Variance Thresholds
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Feature Extraction and Selection - Lab Part 1
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Feature Extraction and Selection - Lab Part 2
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Feature extraction and feature selection-Other Features
Encoding categorical values-Part 1
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Encoding categorical values-Part 2
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Numerical engineering-Part 1
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Numerical engineering-Part 2
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Text feature editing
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AWS Migration services and tools
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Exam tips
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Key Takeaways of the course