Paulescu/hands-on-train-and-deploy-ml
A tutorial project that trains ML models to predict cryptocurrency prices and deploys them as a serverless REST API.

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This hands-on tutorial walks through building, training, and deploying ML models for crypto price prediction. It covers data generation, baseline model creation, and training ML models with scikit-learn. The deployment phase shows how to serve the model as a serverless REST API and automates the pipeline using GitHub Actions and model registry webhooks.