This project aims to analyze the heart failure dataset to build a classifier that identifies the most important factors and allows predicting death from heart failure.
random-forest supervised-learning classification support-vector-machine unsupervised-learning principal-component-analysis k-nearest-neighbours boosting shapiro-wilk adaptive-boosting-algorithm stochastic-gradient classification-regression
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Updated
Jul 14, 2022 - R