t-Distributed Stochastic Neighbor Embedding (t-SNE) is a powerful technique for dimensionality reduction and visualizing high-dimensional datasets. Unlike PCA, t-SNE preserves local structures, revealing clusters and relationships within data. Implementation with scikit-learn is straightforward, and visualizations can be enhanced using libraries like Matplotlib.