Overfitting and Underfitting in Machine Learning

Introduction:- Note: use this link to check out our original article on model fitting in machine learning A common danger in Machine learning is overfitting, producing a model that performs well on training data, but that generalizes very poorly on new data or test data or we can say unseen data. Th

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Day 58 of #60daysOfMachineLearning 🔷 Accuracy, Overfitting, Underfitting 🔷 In machine learning, accuracy is a measure of how well the model is - Thread from Dan

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