Delve deeper into Machine Learning. Handle advanced techniques land know which Machine Learning model to choose for each type of problem

What You Will Learn!

Part-3: Factor Analysis (FA) Part-4: Linear and Quadratic Discriminant Analysis (LDA and QDA) Part-5: K-Nearest Neighbors (KNN) Part-6: Resampling Methods Part-7: K-Means Clustering (KMC) Part-8: Classification and Regression Trees (CART) Part-9: Advanced Regression covering Splines, Non Linear Regression Part-10: Support Vector Machines (SVM)