Introduction to decision tree
  • Welcome Note
  • Section Overview
  • Need of a decision tree
  • Anatomy of a Decision Tree
  • Gain From a Decision Tree
  • KS of a decision tree
  • Business Application of a Decison tree
  • Defintions related with Objective segmentation
  • Decision Tree vs Logistic Regression
  • Check basic understanding of decision tree
  • FAQ: for Introduction section
  • Section PDF
1 A : Model Design - Ensure actionable data for modeling
  • Section Overview
  • Model Design in Principal
  • Model Design Precautions
  • Model Design Outcome
  • Performance Window Design
  • Check basic understanding of model design
  • Data Audit n Treatment Guideline and section PDF
Demo of Decision Tree development using R
  • Section Overview
  • Understand The data for Demo
  • View resource to download files
  • How to download excel files, R program etc?
  • Install R and R Studio
  • First Decision Tree in R
  • Second Decision Tree in R
  • About New additions in the course work
  • Practical_Usage_of_classification_tree - demo
  • Practical_Usage_of_classification_tree - assignment
  • Practical_Usage_of_classification_tree - assignment solution
  • Section PDF
Algorithm behind decision tree
  • Section Overview
  • Intutive Understanding of Numeric Variable Split
  • GINI Index of a node
  • GINI Index of a Split
  • CART in action : Decide which variable n its value for the split
  • Practical approach of Decision Tree Development
  • Some practical situation of decision tree model validation
  • Implementing decision tree model
  • Auto Pruning Technique of decision tree development part 1
  • K Fold Cross Validation
  • Auto Pruning Using R.
  • Developing Regression Tree Using R
  • Interpret Regression Tree Output
  • Another Regression Tree Using R
  • Practical_Usage_of_Regression_tree - demo part 1
  • Practical_Usage_of_Regression_tree - demo part 2
  • Practical_Usage_of_Regression_tree - assignment
  • Practical_Usage_of_Regression_tree - assignment solution
  • Linear Regression vs Regression tree
  • CHAID Algorithm
  • CHAID vs CART
  • Check basic understanding of algorithm behind decision tree
  • FAQ - for algorithm behind decision tree section
  • Section PDF
  • Appendix Content - Chi Square Statistic
  • Appendix Content - Feel The Chi Square Statistic
  • Appendix content - Degree of freedom of a cross tab
  • Appendix content - Chi Square Distribution
  • Appendix content - PDF
Other algorithm of decision tree development
  • Section Overview
  • Entropy of a Node
  • Entropy of a Split
  • ID3 Method
  • Random Forest Method
  • R syntax for Random Forest
  • Ensemble Learning - Bagging and Bossting
  • Check basic understanding of algorithm behind decision tree -01
  • Section FAQ - Other algorithm of decision tree
  • Introduction to Gradient Boosting
  • FAQ - For other algorithm of decision tree
  • Section PDF
  • Bonus topic - Decision Tree using Python
  • Bonus Topic - Analytics / Data Science / Machine Learning Interview questions
  • Closure Note