Overfitting vs Underfitting ML Basics: Overfitting = model memorizes training data Underfitting = model is too simple Goal = balance bias vs variance Use validation set to detect both What was your first ML model? #Day3 #MachineLearning #ML #AI #DataScience #184DaysOfCode
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