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README.md
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After generating these features, the entire dataset (including new columns) underwent One-Hot Encoding and Standard Scaling to ensure compatibility with regression algorithms.
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**Clustering**
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To incorporate body-composition patterns into the model, I applied K-Means clustering to key physiological attributes:
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Age, Weight, Height, BMI, Fat Percentage, Resting BPM
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#**Part 7: Regression to Classification**
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7.1 Converting the Regression Target into Classes
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After generating these features, the entire dataset (including new columns) underwent One-Hot Encoding and Standard Scaling to ensure compatibility with regression algorithms.
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**Clustering:**
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To incorporate body-composition patterns into the model, I applied K-Means clustering to key physiological attributes:
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Age, Weight, Height, BMI, Fat Percentage, Resting BPM
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# **Part 7: Regression to Classification**
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7.1 Converting the Regression Target into Classes
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