Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

Notice that reconstruction uses eigenvectors as rows rather than columns. Once again, the eigenvectors columns-vs-rows issue can be tricky when working with PCA. Next, the original source data is ...