Answer Posted / Satyendra Gupta

Ensemble Learning is a machine learning technique that combines multiple learning algorithms or models to improve overall performance and reduce errors. This can be achieved by training several base learners on the same dataset, aggregating their predictions, or generating new models based on subsets of the original data.

What are standardization and normalisation? Give one advantage of each over the other?

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Do you have research experience in machine learning?

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