Feature Engineering, Machine Learning, Data Science, Data, Python.
Photo by Giorgio Tomassetti on Unsplash The article will explain the concepts and uses of Principal Component Analysis(PCA) and code implementation. Principal Component Analysis (PCA) is a statistical procedure that uses a technique to convert a set of correlated variables to a set of uncorrelated