How can I automate machine learning models using Python?
You can automate machine learning models in Python using libraries like Scikit-learn, TensorFlow, and tools like MLflow.
What are the steps to set up an automated ML pipeline?
First, define your data sources, then preprocess the data, select models, train them, and finally deploy the model.
Can you recommend any specific libraries for model deployment?
Sure! You can use Flask or FastAPI for web deployment, and Docker for containerization.
How do I monitor the performance of my deployed models?
You can use tools like Prometheus for monitoring and Grafana for visualization of your model's performance metrics.
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