Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
to keep. Don’t: Ignore the importance of feature selection before PCA; not every variable may be relevant for PCA. Overlook the need for domain knowledge to interpret the principal components correctly. Rely solely on PCA for feature reduction in the presence of non-linear relationships. Common