What is pca in icse?

PCA, or Principal Component Analysis, is a statistical technique used in data analysis and dimensionality reduction. In the context of the ICSE (Indian Certificate of Secondary Education) curriculum, PCA helps in simplifying complex datasets by transforming them into a new set of variables, called principal components, which capture the most variance in the data. This technique is valuable for visualizing data, reducing noise, and improving the performance of machine learning algorithms. It allows students to understand the significance of data reduction and the importance of identifying underlying patterns.