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K nearest neighbors (KNN) - explained | validation

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1. How KNN works
2. The steps in KNN (04:20)
3. Validation (LOOCV and hold-out) (06:47)
4. Imbalanced data sets (08:46)
5. How do we find an optimal value for k (09:34)
6. Standardization (14:11)
2. The steps in KNN (04:20)
3. Validation (LOOCV and hold-out) (06:47)
4. Imbalanced data sets (08:46)
5. How do we find an optimal value for k (09:34)
6. Standardization (14:11)
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