Linear discriminant analysis is supervised machine learning, the technique used to find a linear combination of features that separates two or more classes of objects or events.  Linear discriminant analysis, also known as LDA,  does the separation by computing the directions (“linear discriminants”) that represent the axis that enhances the separation between multiple classes. Also, Linear … Continue reading Linear Discriminant Analysis or LDA in Python