jrzaurin/ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
This project helps companies deploy machine learning models that make real-time decisions, such as instantly offering a product to a high-income customer. It takes raw user interaction data from an app or website and outputs immediate predictions, while also continuously retraining the underlying model without service interruptions. This is for data scientists or MLOps engineers who need to build robust, continuously updated prediction systems.
111 stars. No commits in the last 6 months.
Use this if you need to operationalize a machine learning model that makes real-time predictions based on streaming data and requires continuous, automatic retraining without downtime.
Not ideal if your predictions are batch-processed or if your models do not require frequent, automated retraining.
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Last pushed
Dec 08, 2022
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