A one-class SVM is another model that can be used for unsupervised outlier detection. Build a one-class SVM with the default parameters, using a pipeline with a StandardScaler object followed by a...

A one-class SVM is another model that can be used for unsupervised outlier

detection. Build a one-class SVM with the default parameters, using a pipeline with

a StandardScaler object followed by a OneClassSVM object. Train the model

on the January 2018 data, just as we did for the isolation forest. Make predictions on

that same data. Count the number of inliers and outliers this model identifies.