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BassBeast1991 / repository
A Jupyter notebook which applies a Gaussian Naive Bayes classifier to mobile phone specification data, performs classification according to price range, and then varies the training dataset size to assess performance by creating a learning curve manually. The learning curve is then compared to the sklearn learning_curve function.
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