Implementation of Dimensionality Reduction using Principal Component Analysis (PCA) on Iris Dataset
Dimensionality Reduction using PCA on Iris Dataset using Jupyter Notebook.
Download code from this link https://professorjacademy.blogspot.co...
Principal component analysis (PCA) is a technique for reducing the dimensionality of such datasets, increasing interpretability but at the same time minimizing information loss. It does so by creating new uncorrelated variables that successively maximize variance.
#DimensionalityReduction #PrincipalComponentAnalysis #CodeinDescriptionofVideo
Watch video Implementation of Dimensionality Reduction using Principal Component Analysis (PCA) on Iris Dataset online without registration, duration hours minute second in high quality. This video was added by user J Academy 27 May 2020, don't forget to share it with your friends and acquaintances, it has been viewed on our site 2,875 once and liked it 26 people.