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Clustering: kmeans() underneath the stats bundle performs k-Indicates Clustering to the given knowledge matrix in R. It is an Unsupervised ML Algorithm that is employed for segmentation and knowledge-grouping on unlabelled information.
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Logistic Regression: glm() beneath the stats package is useful for teaching a Logistic Regression Product in R. It styles a linear choice boundary for the classification of knowledge details.
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