Build stronger AI/ML projects with structured guidance.
Topics:
• Project selection
• Dataset recommendations
• Model selection
• Feature engineering
• Evaluation metrics
• Deployment roadmap
• Portfolio building
Suitable for students, beginners, and hackathon participants.