PCA with Python Principal Component Analysis Machine Learning KGP Talkie

I have recently started the Corporate and Personal Training Programme on Machine Learning at very nominal charges. If you are interested, please fill the form: PCA is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. Download Working File: https://git