Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
this example, I am reducing two features in 2 dimensions to 1 feature, which is one dimension The PC1 in a linear component of feature1 and feature2, which is one axis as shown above. Of course, you will see the benefits when you have 30 features and reduce them to two as we will see in later