Stop Using Notebooks: How to Deploy ML Models with Docker
Автор: Aaron Willy
Загружено: 2026-01-04
Просмотров: 25
Описание:
In this video, I walk through an End-to-End Machine Learning project where I take a model from a Jupyter Notebook and deploy it as a production-ready containerized API.
🚀 Project Source Code: https://github.com/aaronwillyOG/trend_dete...
🔗 Connect on LinkedIn: https://www.linkedin.com/in/aaron-willy/
What I Built:
A real-time Bitcoin trend detection system using:
Data: Live financial data via yfinance
Model: XGBoost Classifier (Trained on technical indicators)
Backend: FastAPI (High-performance Async API)
Deployment: Docker (Containerized for reproducibility)
Frontend: Streamlit (Interactive Dashboard)
Tech Stack:
Python 3.10, Pandas, Scikit-Learn, XGBoost, Docker, FastAPI, Uvicorn.
#MachineLearning #MLOps #Docker #Python #Portfolio
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