Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
particularly useful in machine learning applications where reducing the number of dimensions can help to avoid overfitting and reduce training time. While it is often not feasible to retain all the information (100% variance), significant insights can still be drawn from the data by retaining a few