Predictive Analytics with TensorFlow 6.2: Transformers and Estimators

The video tutorial covers NLP analytics pipelines, focusing on transformers, which are functions that transform datasets. It distinguishes between standard and estimator transformers, providing examples of each. The tutorial also delves into tokenization techniques, including regex tokenizers and stop words removal, and explains the concept of n-grams, demonstrating their application in text processing.

What is the significance of removing stop words before applying algorithms?

Describe how engrams are formed according to the text.