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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Devidas Mawaskar
5
Nice course long time your jerny and very beautiful 😍
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Abhishek Jatav
5
easy explanation
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Sachin Pandey
4
in my jupyter notebook recommendations is not showing for any functions
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Zeyan Khan
5
How to Learn a Deep Learning Course. As in the video, Sir says you can learn sequential in the Deep Learning course, so how can i learn? Please tell me anyone.
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Krishna
5
very easy explaination for career
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Omsingh Sachin Thakur
5
Amazing course with hands on practicals
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Laxmikant Raghuwanshi
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Effective Learning with simple language.
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Haseen Ur Rahman
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Very helping Platform for learning different skills.
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DEEPAK PALI
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BEST PLATFORM FOR LEARNING
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Suresh Kumar
5
Hi Sir,
I want a clearity up on these
1. To learn Data Science "Machine learning" is part of it but we have to learn additionally python libraries (panda, numpy, matplotlib) or else in ML enough.
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