Answer / Satyendra Singh

A classifier in machine learning is a type of model that learns to predict the categorical output variable (or classes) from given input features. It works by determining the probability distribution over different classes and then selecting the one with the highest probability.

What is dimension reduction in Machine Learning?

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Explain the decision tree classification?

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Tell us what's the difference between a generative and discriminative model?

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Explain the difference between bayes and naive bayes?

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Explain what is the function of ‘Unsupervised Learning’?

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What is optimization in ML?

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What are the different categories you can categorized the sequence learning process?

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What are the three stages to build the hypotheses or model in machine learning?

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What do you understand by decision tree classification?

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