I was studying about the random forest while studying I came across a term bagging I am not able to understand it and what is the effect of bagging in random forest .
In simple terms : Bagging is a technique where in you combine several models or rather average out their predictions to build a final one. Random Forest is an ensemble learning model which combines the predictions of different trees thus the term bagging.
If you really wanna get in depth : Read the book Elements of Statistical Learning: Its got a chapter on bagging. A pdf is available free of cost online.
The above description is simplified for understanding so take it as it is so with a pinch of salt.