71. Explain the concept of the Curse of dimensionality
There are times when the amount of variables or columns in the dataset is excessive while evaluating it. We are, however, only allowed to extract significant variables from the group. Consider the fact that there are a thousand features. However, we only need to extract a few key characteristics. The 'curse of dimensionality refers to the dilemma of having many features when only a few are required.
