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Decision tree is a type of supervised learning algorithm that is mostly used in classification problems. Watch the video to understand the basic decision tree model, understanding the output and deriving insights from it.

The dataset used in the case study is very famous Iris data set, a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper. You can download the dataset at: https://archive.ics.uci.edu/ml/datasets/iris
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#DecisonTreeLearning #DataMining #DecisionTree About Great Learning:
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