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
-
Updated
Jul 14, 2022 - R