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AWS ML Data Prep
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Module 3
Preparing Data for Model Training
1
Encoding Categorical Data
Convert categorical data into numbers using one-hot encoding and label encoding with a simple example.
2
Feature Scaling: Normalization & Its Benefits
Normalize numerical features to a common range (e.g., 0 to 1) and explain why this helps ML models.
3
Data Splitting: Training, Validation, and Test Sets
Split a dataset into training, validation, and test sets and explain the purpose of each.
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Data Cleaning Essentials
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Data Preparation on AWS