This project compares results of different supervised and unsupervised clustering,classification and regression models namely svm, random forest , logistic regression, kmeans and knn algorithms and thus decides which one is best suited for the given dataset(Pima_indian_diabetes dataset)
hilor05/Different-machine-learning-algorithm-comparison
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