📑 Summary: 📑
Develop a working understanding of machine learning concepts and their business applications.
🎓Syllabus: 🎓
• Machine learning fundamentals
• Data preparation and feature engineering
• Supervised and unsupervised learning
• Model evaluation techniques
• Tools and frameworks overview
• Predictive modelling
• Business use cases
• Model limitations
• Case studies
• Practical labs
Instructor
