K means is used for clustering, we find optimal centroids for the data points using the mean of these data points. PCA reduces dimensionality and is used for visualization. Decision Trees are used for classification and sometimes regression. I don't know the 4th thing 😂
2 weeks ago
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Which of the following is a supervised learning algorithm?
2 weeks ago | [YT] | 8