AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
improving the generalization performance of machine learning models. Dimensionality reduction finds applications across various domains, from image and speech processing to finance and bioinformatics, where extracting meaningful patterns from vast datasets is crucial for making informed decisions