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Hi everyone i wanna know the best path to learn tensor flow extended If you have any ressources send them

A fun way to understand false positives and false negatives: - False Positive: This occurs when a model incorrectly predicts something as true when it is not. (Type I error, like predicting a man is pregnant.) - False Negative: This happens when the model fails to detect something that is actually true. (Type II error, like telling a pregnant woman she is not pregnant.) Read LinkedIn post

Can someone tell me what's wrong with the code below?

Hi guys! I’ve completed the Kaggle first tutorial on programming and I feel like all the info went right over my head. Anyone feel the same way? Or have constructive learning tips?