To decide whether to break a node into two or more sub-nodes, decision trees employ a variety of techniques. The homogeneity of the generated sub-nodes improves with the generation of sub-nodes. To put it another way, the purity of the node improves as the target variable grows.
A decision tree is a tool with a tree-like structure that predicts likely outcomes, resource costs, utility costs, and potential implications. Decision trees are a useful tool for presenting algorithms. They use software to automate trading in order to produce profits at a rate that would be hard for a human trader to achieve.
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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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