Natural Language Processing with Metaflow Tutorial

In this series of episodes, you will learn how to build, train, test and deploy a machine learning model that performs text-classification. You will use Tensorflow, Scikit-learn and Metaflow to operationalize a machine learning product using best practices for evaluating and testing. Lastly, you will learn how you can use this model in downstream processes.

• Episode 1: Understand the Data
• Episode 2: Construct a Model
• Episode 3: Set Up a Baseline Flow
• Episode 4: Train your Model
• Episode 5: Evaluate your Model
• Episode 6: Use your Model in Python
• Episode 7: Use your Model in a Flow

Prerequisites: We assume that you have taken the introductory tutorials or know the basics of Metaflow.