DNAMAY / ML-Diabetes

Early stage detection of Diabetes risk

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Machine Learning (Supervised Learning)

The project is to classify the given input data in Diabetes positive or negative result. Classification is done after feature selection of early stage symptoms to detect the risk of diabetes. The visualization also gives a clear understanding of components highly affecting the result.

Dataset obtained from: archive.ics.uci.edu/ml/datasets/Early+stage+diabetes+risk+prediction+dataset.#

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Early stage detection of Diabetes risk


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