Build NLP pipelines using scikit-learn

In this 2-hour long project-based course, you will understand the business problem and the dataset and learn how to generate a hypothesis to create new features based on existing data. You will learn to perform text pre-processing and creating custom transformers to generate new features in to pass into the machine learning pipeline. And you will implement NLP pipeline creating your own custom transformers and build a text classification model.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.