Machine Learning, Python, Julia, Algorithms, R.
into two classes by finding a hyperplane in the feature space that maximizes the distance between the two classes. This hyperplane is known as the Fisher Linear Discriminant, and it is used to classify new data points based on which side of the hyperplane they fall on. One of the key advantages of