RamiKrispin/ai-dev-2024-ml-workshop
Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
This project helps data professionals automate the deployment and continuous monitoring of machine learning models. It takes raw data, like hourly electricity demand from an API, processes it through a machine learning pipeline, and outputs regular forecasts and a dashboard showing model performance and data health. Data scientists and machine learning engineers who need to ensure their models are always up-to-date and performing well would use this.
Use this if you need to set up an automated system that regularly fetches data, retrains a forecasting model, and presents its performance and predictions in an always-current dashboard.
Not ideal if you are looking for a simple, one-off model training solution without the need for continuous deployment, monitoring, or automated data refreshes.
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Mar 19, 2026
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