October 2018
Intermediate to advanced
172 pages
4h 6m
English
Now that you understand how the k-means algorithm works internally, we can proceed to implement it in scikit-learn. We are going to work with the same fraud detection dataset that we used in all of the previous chapters. The key difference is that we are going to drop the target feature, which contains the labels, and identify the two clusters that are used to detect fraud.
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