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.

PCA analysis This project implements a Python-based Principal Component Analysis (PCA) calculation tool with interactive visualization using Dash. Additionally, the project includes a predictive model ...

PCA WITH PYTHON This project consists of an implementation of Principal Component Analysis (PCA) in Python. PCA is a dimensionality reduction technique that transforms a set of correlated variables ...

Build classifiers using support vector machines (SVMs) and boost performance with PCA Avoid overfitting using regularization, feature selection, and more Who this book is for This expanded fourth ...