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All LessonsFree Lessons (3)

Introduction

Course Goals and Structure

Getting Started

Motivation: Why Jupyter Notebooks Aren’t Enough The ML Training Pipeline Quiz: Getting Started

Structuring the ML Pipeline

System Architecture Directory Structure Code Organization Code Style Managing Dependencies Quiz: Structuring the ML Pipeline

Directed Acyclic Graphs (DAGs)

What Is a DAG?Topological Sorting Quiz: DAGs

The ML Library

Object-Oriented Programming Configuration Files: OmegaConf Abstract Base Classes Mixins Datasets Models Report Generation Quiz: The ML Library

Project

Create Your First Data Pipeline with a Dashboard

The Pipeline Core

Structuring the Pipeline Core Parsing Command-Line Arguments: Argparse Experiment Tracking Logging The Complete Pipeline Docstrings Quiz: The Pipeline Core

Extending the Pipeline

Supporting a New Dataset Supporting a New Model

Project

Build a News ETL Data Pipeline Using Python and SQLite

Testing

Introduction to Unit Testing

Introduction to System Testing

Deployment

Packaging the ML Library Inference

Other Considerations

Data Quality and Model Performance Monitoring Reproducibility Off-the-Shelf Solutions Quiz: Observability and Reproducibility

Wrapping Up

Appendix

Useful Resources

Course Assessment

Final Assessment

Building a Machine Learning Pipeline from Scratch/

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Quiz: Testing

Quiz: Testing

Test yourself on the concepts learned in this chapter.

We'll cover the following...

Technical Quiz

1.

In unit testing, what do you test?

A.

Each statement in the code as a separate unit.

B.

Each function as a separate unit.

C.

Each module as a separate unit.

D.

The entire code as a single unit.

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