Seaborn
- Builds attractive graphs for data trends.
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AUC
- Measures overall classification performance.
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NLP
- Teaches computers to understand human language.
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Hyperparameters
- Variables like learning rate or depth that affect model training.
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Tokenization
- Breaks sentences into words or tokens.
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Data Cleaning
- Fixes missing, duplicate, or incorrect data.
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Grid Search
- Tries every combination of hyperparameters.
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Data Normalization
- Scales values between 0 and 1 to stabilize training.
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