Conclusion

Congratulations! You’ve completed building an ML pipeline from scratch!

By taking this course, you have:

• Learned what makes a great ML training pipeline.

  • Learned what the major components of the pipeline should be.

  • Learned how to structure the components into a cohesive whole.

• Built an ML training pipeline entirely from scratch, using software engineering best practices.

  • Created a fully functional pipeline, from loading data to creating reports and preparing for model deployment.

  • Built a pipeline that’s extensible to new datasets and new model types.

• Improved your Python skills.

  • Learned how to use important features of the language.

  • Learned about useful libraries.