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Can anyone explain linear regression in Machine learning?

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Linear regression in Machine Learning is a supervised algorithm and the most used regression algorithm. In simple words, linear regression means fitting the best fit line between independent and target variables with the least mean square error.

Before implementing linear regression, we should check whether the data is following these assumptions:

  • Data should be linear
  • No Multicollinearity
  • No auto-correlation
  • Homoskedasticity should be there

In case you are interested to learn Machine learning, you can take up this Machine learning course by Intellipaat.

You can watch this video on machine learning by intellipaat to get an overview of machine learning :

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