Why You Shouldn’t Use PCA in a Supervised Machine Learning Project

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Principal Component Analysis is a very useful dimensionality reduction tool. It can really help you reduce the number of features of a model. Although it may seem a powerful tool for a data scientist…

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Gianluca Malato

Gianluca Malato

Theoretical Physicists, Data Scientist and fiction author. I teach Data Science, statistics and SQL on YourDataTeacher.com and I founded SmartRemoteJobs.com