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LIST OF MACHINE LEARNING ALGORITHM I USED BEFORE
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Training on how to display many machine learning algorithm performance in solving classification problem. The following are the list nearest neighbor, linear support vector (SVM), RBF (Radial Basis Function) SVM
, Gaussian process, neural net, AdaBoost, Naive Bayes, QDA (Quadratic Discriminant Analysis)
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Training on how to explain receiving operating characteristic curve (ROC).
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Training on how to show which feature in PCA are more important in making accurate prediction. 
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Training on how regression is done using decision tree algorithm.
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Training on how clustering algorithm is used to group similar object into sets. 
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Training on how to display calibration plots of many machine learning algorithm under analysis. 
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Training on how to display calibration plots of many machine learning algorithm under analysis continuation. 
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