Answer / Renu Chaudhary

My favorite algorithm is the Naive Bayes Classifier. It's a simple probabilistic algorithm based on Bayes' Theorem with an assumption of independence among features. Given a set of training data with labeled examples, the algorithm computes the conditional probabilities for each class and uses these to make predictions on new, unlabeled data.

What is the benefit of naïve bayes mcq?

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What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?

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What are the differences between machine learning and artificial intelligence?

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List down various approaches for machine learning?

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How would you handle an imbalanced dataset?

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What laptop is good for machine learning?

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What is A/B testing in Machine Learning?

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Explain how would you implement a recommendation system for our company's users?

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Tell me how would you implement a recommendation system for our company's users?

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Explain the purpose of machine learning?

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