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Examples of statistical machine learning: Linear Discriminant Analysis, Quadratic Discriminant Analysis, Basis Method, Smoothing Splines, Bayesian Method, Bootstrapping, Cross Validation, Regression Tree.

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Examples of statistical machine learning.

qda_lda2: Using two methods to classify vowel data. 1. Quadratic discriminant analysis; 2 Linear discriminant analysis on a basis constructed by quatratic functions. Python, Scikit-learn, Numpy, and Matlibplot are used.

regression_tree: An example of regression tree. Python, Scikit-learn, and Numpy are used.

spline_bayes: Use various methods to analyze bone mineral density data. 1. Smoothing splines; 2. Bayesian method. Bootstrapping and cross validation techniques are also applied. Matlab is used.

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Examples of statistical machine learning: Linear Discriminant Analysis, Quadratic Discriminant Analysis, Basis Method, Smoothing Splines, Bayesian Method, Bootstrapping, Cross Validation, Regression Tree.

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