Linear Discriminant Analysis (LDA) is a supervised learning algorithm used for classification tasks in machine learning. LDA can handle correlation between features in the data. It is a technique used to find a linear combination of features that best separates the classes in a dataset. It is a simple and computationally efficient algorithm and can… Continue reading Linear Discriminant Analysis