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Gini Index and Entropy|Gini Index and Information gain in Decision Tree|Decision tree splitting rule

Gini Index and Entropy|Gini Index and Information gain in Decision Tree|Decision tree splitting rule
#GiniIndex #Entropy #DecisionTrees #UnfoldDataScience

Hi,
My name is Aman and I am a data scientist.

About this video:
How does a Decision Tree Work? A Decision Tree recursively splits training data into subsets based on the value of a single attribute. Splitting stops when every subset is pure (all elements belong to a single class)
This video explains Gini and Entropy with example.
Below questions are answered in this video:
1.What is Gini Index?
2.What is Information gain?
3.What is Entropy?
4.What is tree splitting criteria?
5.How is decision tree splitted?

About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.

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Видео Gini Index and Entropy|Gini Index and Information gain in Decision Tree|Decision tree splitting rule канала Unfold Data Science
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Информация о видео
14 января 2020 г. 18:21:55
00:11:35
Яндекс.Метрика