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Decision Tree - Theory, Application and Modeling using RMP4 | Video: 972x720 | 61 kbps | 44 KHz | Duration: 6 Hours | 389 MBGenre: 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 treewhere do you apply decision treewhat benefit it bringswhat are various algorithm behind decision treewhat are the steps to develop decision tree in Rhow to interpret the decision tree output of R
