PCA (Principal Component Analysis): Fitted PCA model from SKLearn, visualized required PCA dimensions using sns lineplots and the PCA itself using biplot. Reduced dimensions by 50% (from 4 to 2) ...

we can deduce that two components explain over 85% of variance (0.62 + 0.24 = 0.86). And the other two components have relatively lower contribution to the variance within our data. However, lets use ...