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The data is an email spam dataset, consisting of 4601 email messages with 57 features. Feature descriptions are found in this link. We have divided the data into a training set (3065 emails) and test set (1536 emails) with accompanying labels (1 = spam , 0 = not spam)
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The project will be conducted on the MNIST dataset. The MNIST dataset contains in total 70,000 handwritten digit images, which are divided into a training set of 60; 000 examples, and a test set of 10,000 examples. The digits have been size-normalized and centered in a fixedsize image. The raw data and labels can be downloaded from in this link.
