Decision Trees are a type of supervised machine learning in which the data is continually split according to a parameter (you explain what the input is and what the related output is in the training data).
A decision tree has the advantage of forcing the evaluation of all conceivable decision outcomes and tracing each path to a conclusion. It generates a detailed analysis of the effects along each branch and flags decision nodes that require additional investigation.
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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
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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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