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AWS ML Data Prep
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Module 1
Foundations of ML Data
1
Machine Learning: Simplified
Explain what machine learning is using a simple everyday analogy (e.g., teaching a child to recognize animals).
2
Inputs and Outputs: Understanding Features and Labels
Distinguish between features (inputs) and labels (outputs) in a dataset using a concrete example.
3
Data Types in Machine Learning
Identify the three common data types used in ML: numerical, categorical, and text.
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Data Cleaning Essentials