Hi Team,
I was interested in getting mutual information for variables in a churn model. I see that under feature engineering we have PCA,SVD, auto encoder etc.. I would like to know what could be the best information criteria to use instead of mutual information
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
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