Data Manipulation and PCA (Principal Component Analysis )
Data Manipulation and PCA (Principal Component Analysis ), Data Manipulation and PCA.
Course Description
In this course, we learn the following:
How to Stet a working directory
How to  Import a txt or  csv file
How to eliminate duplicate rows in the data
How to detect rows containing missing values
How to eliminate rows containing missing values
How to  replace missing values
How to select a subset of the data based on specifics criteriaÂ
How to do arithmetic on columnsÂ
How detect strongly correlated variable (some nice plots for visualization )
How to compute the correlation matrix , the eigenvalue and eigenvector
How select the number of components Â
How to compute the components Â