Tag: Dimensionality Reduction Methods

Introduction In the era of big data, machine learning models often deal with datasets containing hundreds or thousands of features. While more data can improve model performance, high-dimensional datasets can also lead to challenges such as increased computation time, overfitting, and difficulty in interpretation. Dimensionality reduction is a solution that simplifies datasets without losing essential… Read more