done ensemble algorithms

Done

I revised the concepts of Ensemble algo and its family. Bagging (Bootstrap aggregation), Boosting, and Stacking (Stack Generalization)

Done

Done

Recall for overview of ensemble algorithms which was already discussed on Day80, I learned more detail about bagging (Bootstrap aggregating), boosting, and stacking (Staked Generalization)

I learned in this video about Bagging, Boosting, and stacking.

I learned in this Bagging, Boosting, and Stacking.

AOA, I learned in this lecture about the ML algorithm of Ensemble Methods (combine several base model in order to produce one optimal model) and its types Which are1- Bagging ( bootstrap aggregation) ( parallel tree growing with sub-samples ) 2- Boosting( sequential tree growth with weighted samples ) ( makes a weak learner strong ) 3- Stacking ( Stacked Generalization )