Visualizing Predictions with KNN on Flower Data
ML Best Practices
Touching test data in development leaks signal — biggest rookie mistake.
Features available at predict time but not at train time corrupt models.
MLflow or notebooks — track what you tried.
Single train/test splits are noisy.
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Implement and visualize a simple k-nearest neighbors classifier to predict a new data point's class. Watch this tutorial to learn the key concepts and techniques.