In the video, the mentor has explained that it is about two different data training sets and so on but isn’t it about noise in training data?
Overfitting in supervised learning
Its about the same training dataset, but different models, on model which captures noise on training data is said to be an over fitted model, while other which generalizes well, is called good model.
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