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I applied via Indeed and was interviewed in Mar 2021. There were 4 interview rounds.
Yes, Decision tree is a supervised learning algorithm and Random Forest is an ensemble learning method.
Decision tree is a tree-like model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.
Random Forest is a collection of decision trees where each tree is built using a random subset of the training data and a random sub...
I applied via Indeed and was interviewed in Aug 2021. There were 4 interview rounds.
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