You are given reviews of few netflix series marked as positive, negative and neutral. Classifying reviews of a new netflix series is an example of

In supervised learning, the model is trained on a labeled dataset, where each input (in this case, the Netflix reviews) is associated with a corresponding output label (positive, negative, or neutral).
The goal is to teach the model to predict the correct label for new, unseen data based on the patterns it learned from the labeled examples.

Supervised learning uses labeled data to train the model, and the model is evaluated based on how accurately it classifies new, unlabeled data.
In this case, since the reviews are already labeled as positive, negative, or neutral, this is a typical example of supervised learning.