I would like to add the topic Principal Component Analysis(PCA) in the Data Science & Machine Learning part of this project. One of the most important topics in ML and Data Science.
PCA is a dimensionality reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set.
Please let me add this topic into the project.
I would like to add the topic Principal Component Analysis(PCA) in the Data Science & Machine Learning part of this project. One of the most important topics in ML and Data Science. PCA is a dimensionality reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set. Please let me add this topic into the project.