Data Science, Python, Machine Learning, Dimensionality Reduction.
machine learning models, while reducing the computational resources and time required to train them. There are several techniques for dimensionality reduction, including Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and