Intermediate Machine Learning: Principal Component Analysis (PCA)

Welcome to the third module in our Machine Learning series. So far we’ve covered Linear Regression and Logistic Regression. Just to recap, Linear Regression is the simplest implementation of continuous prediction (i.e. regression) and Logistic Regression is a version of regression that uses a softmax function to do classification. Now let’s get into something aContinue reading “Intermediate Machine Learning: Principal Component Analysis (PCA)”