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This project is about classifying patients into sick and healthy, based on test results.

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The purpose of my project is to analyze the Heart Disease collection for missing data, complete it, and machine-learn a nego rd to identify whether a patient has heart disease. The Heart Disease collection is a collection downloaded from https://archive.ics.uci.edu/dataset/45/heart+disease from the Health and Medicine category. It is composed of 13 attributes (the basic version has 76) and 303 cases (patients). The collection posaida missing data. Below I will provide a description of each attribute of the collection.

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This project is about classifying patients into sick and healthy, based on test results.

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