luongtruong77/practical-data-science

This repo contains materials from the Deeplearning.AI's Practical Data Science Specialization offered by Coursera.

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This project provides learning materials to help data-focused developers, scientists, and analysts take their machine learning projects from concept to a fully operational, scalable system. You'll learn how to build, train, and deploy end-to-end ML pipelines in the AWS cloud, turning raw datasets into high-performing, monitored models. It's designed for those familiar with Python and SQL who want to leverage cloud tools for production-ready AI.

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Use this if you are a data professional wanting to gain practical skills in deploying machine learning models, especially those involving natural language processing, at scale on AWS.

Not ideal if you are new to data science, lack familiarity with Python and SQL, or are not interested in using AWS for ML deployment.

MLOps cloud-deployment natural-language-processing data-pipeline-engineering model-optimization
No License Stale 6m No Package No Dependents
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Adoption 4 / 25
Maturity 8 / 25
Community 17 / 25

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Jul 08, 2021

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