Machine Learning for ISIC Skin Cancer Classification Challengeby@evankozliner
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Machine Learning for ISIC Skin Cancer Classification Challenge

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Computer vision based melanoma diagnosis has been a side project of mine on and off for almost 2 years. The early diagnosis challenge I’ll be exploring here is called the ISIC challenge. This is intended as a quick/informative read for those with basic machine learning experience and those just getting out of their first or second machine learning/data mining course. The code is all on Github, so much of my work will be reusable by anyone interested in the problem. The distribution of the dataset is 374 melanoma images, 254 seborrheic keratosis, and another 1372 benign images (also called nevus)
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