Questions and answers for dimensionality reductions
1. What is dimensionality reduction? When we have a dataset with multiple input features, we know the model will overfit. To reduce input feature space, we can either drop or extract features, this is basically a dimension reduction. Now let’s discuss more about both techniques. Drop irrelevant, redundant features as they do not contribute to