Idea and Implementation / Random Forest
Random Forest
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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...
House Prices Prediction with Decision Tree
Table of Contents 1 Loading Data1.1 Declare tasks for linear regression2 Preprocessing2.1 Null Value2.2 &nbs...