Machine Learning, Artificial Intelligence, Pca Analysis, Data Science, Support Vector Machine.
hand is crucial. Kernel Selection: When using SVM with PCA-transformed data, selecting an appropriate kernel function remains essential for capturing non-linear relationships in the reduced feature space. We will now apply the same method but with the application of PCA for better visualization.