Tree Based Methods in Machine Learning - Gradient Boosting and XGBoost
Mathematical explanation of Gradient Boosting algorithm and brief explanation of XGBoost system.
LinkTree Based Methods in Machine Learning - Boosting and AdaBoost Algorithm
A theoretical introduction to Boosting process and AdaBoost algorithm. Also includes a discussion on exponential loss function
LinkTree Based Methods in Machine Learning - Decision Trees And Random Forest
Part 1 of a series on the theoretical background of Decision Trees, Ensemble Learning, Bagging, Boosting and related topics in Machine Learning.
LinkGaussian Discriminant Analysis
An introduction to Gaussian Discriminant Analysis. It is a nonparametric method that is used in classification. It assumes all the features are normally distributed
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