SDN Creation with Python and ML Integration
Budget: $30 – $250 USD
I'm looking for an expert in Software Defined Networking (SDN) and Machine Learning (ML) to help me with a comprehensive project. The goal is to create an SDN environment using Python's ryu-manager and implement various ML models for traffic classification and routing optimization.
Key Requirements:
- Implement and test Decision Tree, Support Vector Machine, and Neural Network models within the SDN controller.
- Focus on traffic classification and routing optimization aspects of the SDN environment.
- Assist in sourcing suitable datasets for training the ML models.
Ideal Skills:
- Proficiency in Python, specifically with the ryu-manager.
- Strong understanding of SDN and ML principles.
- Experience with Decision Tree, Support Vector Machine, and Neural Network.
- Data sourcing and dataset creation skills.
Key Requirements:
- Implement and test Decision Tree, Support Vector Machine, and Neural Network models within the SDN controller.
- Focus on traffic classification and routing optimization aspects of the SDN environment.
- Assist in sourcing suitable datasets for training the ML models.
Ideal Skills:
- Proficiency in Python, specifically with the ryu-manager.
- Strong understanding of SDN and ML principles.
- Experience with Decision Tree, Support Vector Machine, and Neural Network.
- Data sourcing and dataset creation skills.