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Q1. Consider a piece of data collected from a computer shop where the features are age,
income, student, credit rating and the outcome variable is whether the customer buys a
computer or not. The model takes in above 4 parameters and predicts whether the customer
will buy a computer or not. Draw a decision tree for this dataset.
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All you need to know about decision trees and how to build and optimize decision tree classifier.
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By Nagesh Singh Chauhan, Data Science Enthusiast.
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