GitHub / SayanAndrews2002 / Machine-Learning-Heart-Patient-Data-Project
Used R to visualize and analyze a dataset of heart patients with many predictor variables. Evaluated several machine learning models, such as logistic, linear discriminant analysis, quadratic analysis model, and K-nearest neighbors model, to find best fit for the data. Used random forests for tuning and cross validation.
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Size: 321 KB
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Created at: 7 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: healthcare-data, heart-disease, machinelearning-r, r-programming, r-programming-language