Differentiate between K-Means and KNN algorithms?
KNN algorithms is Supervised Learning where-as K-Means is Unsupervised Learning. With KNN, we predict the label of the unidentified element based on its nearest neighbour and further extend this approach for solving classification/regression-based problems.
K-Means is Unsupervised Learning, where we don’t have any Labels present, in other words, no Target Variables and thus we try to cluster the data based upon their coordinates and try to establish the nature of the cluster based on the elements filtered for that cluster.
NLP Interview Questions
NLP or Natural Language Processing helps machines analyse natural languages with the intention of learning them. It extracts information from data by applying machine learning algorithms. Apart from learning the basics of NLP, it is important to prepare specifically for the interviews.
