Conclusion
Summarize what we’ve learned and view useful resources.
We'll cover the following
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.
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