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Can anyone tell me what is regression in Machine learning?

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In data mining, regression is a statistical modeling technique that involves predicting a continuous quantity for new observations by using the knowledge gained from the previous data.

In simple words, if the target variable or outcome the variable is a continuous variable then it is a regression problem and if the target variable is discrete, it is a classification problem.

Example of a regression problem: Predicting the prices of houses from the features of houses like the number of rooms, the size of a house, location of the house, etc.

Some of the most used regression algorithms in Data Mining:

  • Linear regression
  • Lasso regression
  • Polynomial regression
  • Ridge regression
  • Decision trees
  • Random forest regression
  • K-Nearest neighbors

If you wish to learn more about regression and implementation, you can enroll in Machine Learning Course by Intellipaat.

Also, check out this video for more information:

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