Cracking the Code: Mastering Dimensionality Reduction Techniques in Machine Learning

Introduction In machine learning, we often work with datasets containing a large number of features or variables. While having more data might seem beneficial, high-dimensional datasets can lead to overfitting, increased computational costs, and redu...