Decision Trees

Decision Trees
Basics of decision trees
11 mins
Understanding a Regression Tree
11 mins
The stopping criteria for controlling tree growth
4 mins
The Data set for the Course
3 mins
Importing the Data set into R
7 mins
Splitting Data into Test and Train Set in R
6 mins
Building a Regression Tree in R
15 mins
Pruning a tree
5 mins
Pruning a Tree in R
10 mins
Classification tree
7 mins
The Data set for Classification problem
2 mins
Building a classification Tree in R
9 mins
Advantages and Disadvantages of Decision Trees
2 mins
Ensemble technique 1 - Bagging
7 mins
Bagging in R
7 mins
Ensemble technique 2 - Random Forests
4 mins
Random Forest in R
4 mins
Ensemble technique 3 - Boosting
8 mins
Gradient Boosting in R
8 mins
AdaBoosting in R
10 mins
XGBoosting in R
17 mins