1)Load the data
2)Exploratory Data Analysis
3)Classification AnalysisA)Linear Classification1)Logistic Regression
2)Linear Discriminant Analysis
B)Non-Linear Classification1)Mixture Discriminant Analysis
2)Quadratic Discriminant Analysis
3)Regularized Discriminant Analysis
4)Neural Network
5)Flexible Discriminant Analysis
6)Support Vector Machine
7)k-Nearest Neighbors
8)Naive Bayes
C)Non-Linear Classification with Decision Trees1)Classification and Regression Trees(CART)
2)C4.5
3)PART
4)Bagging CART
5)Random Forest
6)Gradient Boosted Machine
7)Boosted C5.0
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