{"repo":"Suraj-G-Rao/Network_Security","free":true,"listed":false,"github":"https://github.com/Suraj-G-Rao/Network_Security","clone":"git clone https://github.com/Suraj-G-Rao/Network_Security.git","description":"An end-to-end machine learning pipeline for detecting network security threats and phishing attempts with real-time prediction capabilities. The system leverages FastAPI for high-performance API serving, MongoDB for data management, and MLflow for comprehensive experiment tracking throughout the model lifecycle.","language":"Python","stars":46,"topics":["dagshub","dvc","fastapi","mlflow","mongodb"],"license":"GPL-3.0","category":"machine-learning","readme_excerpt":"Network Security Threat Detection System An end-to-end machine learning pipeline for detecting network security threats and phishing attempts with real-time prediction capabilities. 🚀 Features - Real-time Threat Detection : Machine learning models for network security threat prediction - High-Performance API : FastAPI-based REST API for serving predictions - Data Management : MongoDB integration for efficient data storage and retrieval - Experiment Tracking : MLflow integration for model lifecycle management - Version Control : DagsHub for collaborative ML workflows - Robust Architecture : Comprehensive logging and exception handling - Production Ready : Scalable deployment configuration 📋 Prerequisites - Python 3.8+ - MongoDB database - Git - DagsHub account (for version control) 🛠️ Installation 1. Clone the repository 2. Create and activate virtual environment 3. Install dependencies 4. Set up environment variables 5. Install the package 🏗️ Project Structure 🚀 Usage Training the Model Run the complete training pipeline: This will execute: 1. Data Ingestion : Load and prepare training data 2. Data Validation : Validate data quality and schema 3. Data Transformation : Preprocess and feature engineer 4. Model Training : Train the network security model 5. Model Evaluation : Evaluate model performance Running the API Start the FastAPI server: Or using uvicorn directly: The API will be available at http://localhost:8000 API Endpoints - GET / : Root endpoint - redirects to p","default_branch":null,"files":null,"tree":[],"storefront":"/r/Suraj-G-Rao","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Suraj-G-Rao/Network_Security/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}