The following are some of the primary advantages of ID3: The training data is used to generate understandable prediction rules. Builds a short tree in a short amount of time. It simply needs to test a small number of attributes until all of the data has been categorised.
In the shape of a tree structure, a decision tree constructs classification or regression models. It incrementally cuts down a dataset into smaller and smaller sections while also developing an associated decision tree. Both category and numerical data can be handled by decision trees.
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happy
4
Course is nice but where is the link for installation of Anaconda
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Digvijay Kewale
4
Course is good understandable but I am not able to download resources (one star less only for this not able to download resources)
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Shivendra Shahi
5
I am impresses by the way of teaching, what a magical teaching skill he has.
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Sandeep Kumar
5
good content with free of cost
Sucheta Kumari
5
Course content and explanation method is just awesome. I like the way they presenting and specially at the end of each video content they feeding next intro content which makes motivated, excited .
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