Md.Anisur Rahmananisurrahmansblog.hashnode.dev·May 7, 2023Principal Component Analysis in MLIn short,PCA(Principal Component Analysis) is a dimensional reduction technique used for high dimensional dataset(i.e many columns) , it's basically taking a snap shot of the dimension of data from an angle so that we can capture the max varience of ...1 like·71 readsMachine LearningAdd a thoughtful commentNo comments yetBe the first to start the conversation.