Скачать или смотреть Stop Using Notebooks: How to Deploy ML Models with Docker

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