1. One of the major tasks in data mining is data pre-processing/ cleaning. During this phase, you might need to reduce the number of features if there are many available features and some them are useless or not effecting the value of the dependent features. To this end, you are applying Principal Component Analysis (PCA) algorithm to accomplish this task. In this hands-on experiment, applying PCA algorithm and reduce the number of features in the given dataset (Table-1). You should consider the following three features (X1,X2,X3) and reduce these three (3) features to two (2) features ( PCA1,PCA2). Show your step-by-step work: (10 Marks)