todd-cook/ML-You-Can-Use

Practical ML and NLP with examples.

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This project offers practical, real-world examples for applying machine learning and natural language processing techniques. It demonstrates how to take raw text, like Wikipedia articles or job descriptions, process it, and then extract or classify information such as occupations, detect duplicate documents, or understand language patterns. Data scientists, machine learning engineers, and NLP practitioners will find this useful for learning and applying these methods.

No commits in the last 6 months.

Use this if you are a data scientist or ML engineer looking for concrete, reproducible examples of how to implement various ML and NLP tasks, from data labeling to language modeling and text classification.

Not ideal if you are looking for a pre-built application or a low-code solution; this project focuses on demonstrating the underlying techniques and requires coding knowledge.

natural-language-processing machine-learning-engineering text-analytics data-labeling information-extraction
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 16 / 25

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35

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7

Language

Jupyter Notebook

License

Last pushed

May 01, 2023

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