Decision Tree - Theory, Application and Modeling using R

MP4 | Video: 972x720 | 61 kbps | 44 KHz | Duration: 6 Hours | 389 MB

Genre: eLearning | Language: English

Analytics (objective segmentation): Learn Data Science (applied statistics) CHAID / CART / GINI/ ID3/ Random Forest etc.

Decision Tree Model building is one of the most applied technique in analytics vertical. The decision tree model is quick to develop and easy to understand. The technique is simple to learn. A number of business scenarios in lending business / telecom / automobile etc. require decision tree model building.

This course ensures that student get understanding of

what is the decision tree

where do you apply decision tree

what benefit it brings

what are various algorithm behind decision tree

what are the steps to develop decision tree in R

how to interpret the decision tree output of R