STEPS TO BE FOLLOWED TO OBTAIN SOLUTION: STEP1: Loading of wine data on which PCA method are applied. wine data set is of 8 rows and 15 columns. The details of the data is. STEP2: AFTER describing ...

Today we will perform PCA on a set of 10 stocks I've chosen, the top 5 holdings for the Nasdaq and top 5 holdings of the Dow Jones as of August 2018. The data is included in the repository as ...

Learn the best ways to perform, identify, interpret, and visualize principal component analysis (PCA) results, and how to use them to find patterns in data sets.

Learn three methods to perform PCA on categorical or mixed data types in Python: one-hot encoding, factor analysis, and mixed data PCA. Compare their advantages and disadvantages.