Random Forest

Learn about the random forest classification technique. First, we will introduce bootstrap samples and bagging.


Bootstrap is a statistical technique that is used to estimate a measure from the data. For example, consider that we have to calculate the mean of a large sample of data. We can estimate the mean by:

  • Collecting small subsamples of the data.
  • Calculating mean of each subsample.
  • Calculating the average of all these means.

This is our estimate towards the mean.

Level up your interview prep. Join Educative to access 70+ hands-on prep courses.