Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
an efficient representation that retains the essential patters and structures of the original data. By achieving this, PCA facilitates insightful data analysis, visualisation and model building in situations where high-dimensional data can be computationally burdensome and challenging to interpret.