anastasiia-p/airflow-ml
Airflow Pipeline for Machine Learning
This example helps machine learning engineers and data scientists build and test automated text classification workflows. It takes raw news articles from an open data source and applies a natural language processing model to categorize them into predefined topics, outputting classified news. The project demonstrates how to orchestrate these tasks using Apache Airflow.
No commits in the last 6 months.
Use this if you are an MLOps engineer or data scientist looking for a repeatable, automated way to categorize text data without extensive model training.
Not ideal if you need a solution for a production environment or if you are not familiar with Airflow and Docker.
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Language
Python
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Last pushed
May 25, 2023
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