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Decision Tree - Theory, Application and Modeling using R

Автор: Bo0mB0om » 5 мая 2016
Decision Tree - Theory, Application and Modeling using R
Decision Tree - Theory, Application and Modeling using R
MP4 | Video: 972x720 | 61 kbps | 44 KHz | Duration: 6 Hours | 389 MB



Decision Tree - Theory, Application and Modeling using R
Decision Tree - Theory, Application and Modeling using R
MP4 | Video: 972x720 | 61 kbps | 44 KHz | Duration: 6 Hours | 389 MB
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

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