Deploying a Machine Learning Web App | Stream 7: Streamlit & Final Audit

The Grand Finale! In Stream 7, we take our project from a terminal script to a fully deployed product. First, we run a rigorous statistical audit (Precision, Recall, Confusion Matrix) to prove our model's accuracy. Then, we build a beautiful, interactive web UI using Streamlit, and finally, we lock in our professional GitHub documentation.

🔗 GitHub Repository: https://github.com/KingLinux24/ai-phishing-email-detector.git

Topics Covered:
• Model Evaluation (Classification Reports & Confusion Matrices)
• Building a frontend Web UI with Streamlit
• Writing a Principal Engineer-level README.md
• Final Git push and project wrap-up

#Streamlit #MachineLearning #CybersecurityPortfolio #TechCareer

Видео Deploying a Machine Learning Web App | Stream 7: Streamlit & Final Audit канала Mr_Linux Cybersecurity