PCA

In machine learning, PCA stands for Principal Component Analysis. PCA is an unsupervised learning type of algorithm and is used to tackle a known ML problem when a dataset has a large number of features, i.e. high dimensions, also known as the curse of dimensionality. The ML feature engineering techniques available are classified into feature … Read more