Machine Learning, Artificial Intelligence, Pca Analysis, Data Science, Support Vector Machine.
in data exploration and pattern recognition. Noise Reduction: PCA can remove noise and redundancy from the data, resulting in more robust models. Combining SVM and PCA Dimensionality Reduction: One of the primary benefits of combining SVM and PCA is reducing the dimensionality of the input data