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Can anyone explain classification in machine learning?

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Classification in Machine Learning is a type of supervised learning that involves classifying the new examples based on observed patterns from the previous data. In simple words, if the target variable is discrete then it is a classification problem.

I have listed a few most used classification algorithms in machine-learning:

  • Logistic Regression
  • Decision trees
  • Random forest
  • XG boost

Examples of classification in machine learning include:

  • Classification of emails as spam or not spam
  • Classifying fraudulent and non-fraudulent transactions

If you are interested to learn Machine learning, I would recommend this Machine learning course by Intellipaat.

You can watch this video to know about classification in machine learning:

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