Dimensionality Reduction — Can PCA improve the performance of a classification model?

Improving Performace of ML model using PCA — Dimensionality Reduction technique

Photo by Olav Ahrens Røtne on Unsplash

What is PCA?

Principal Component Analysis (PCA) is a common feature extraction technique in data science that employs matrix factorization to reduce the…