keivanipchihagh/machinelearning-roadmap

A hands-on and industry-oriented roadmap to learn to become a Full-Stack Machine Learning Engineer

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This roadmap provides a practical, industry-focused guide to becoming a Full-Stack Machine Learning Engineer. It offers a structured learning path covering essential tools like Python, SQL, and Git, along with core concepts in Data Science and Machine Learning. Aspiring Machine Learning Engineers or Data Scientists looking to build a robust skill set for developing and deploying ML models will find this useful.

No commits in the last 6 months.

Use this if you are an aspiring Machine Learning Engineer or Data Scientist seeking a practical, step-by-step curriculum to master the tools and techniques needed for building and deploying ML solutions.

Not ideal if you prefer a heavily theoretical approach to machine learning or are looking for a quick reference guide rather than a comprehensive learning journey.

Machine Learning Engineering Data Science Learning MLOps Career Development Software Development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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MIT

Last pushed

Oct 31, 2022

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