Idea and Implementation / Boosting
Boosting Boosting is also a general approach that can be applied to many statistical methods. Unlike bagging, boosting use the same dataset. Boosting works o...
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Idea and Implementation / Random Forest
Random Forest
Idea and Implementation / Bagging
Bagging, random forest, and boosting are statistical approach to further enhance already available algorithms. They all seem to deal with multiple training o...
Idea and Implementation / Multinomial Naive Bayes
Multinomial naive bayes is the naive Bayes algorithm for multinomially distributed data. For a brief and intuitive explanation of Bayes theorem, read this ke...
Idea and Implementation / Bayes Theorem and Gaussian Naive Bayes
Bayes Theroem Any naive bayes approach including Gaussian Naive Bayes depends on the Bayes Theorem. Bayes theorem gives us the probability of an event, given...