Machine Learning II – Advanced ML Techniques

Machine learning models don’t just stop at training—they need to be optimized, fine-tuned, and deployed for real-world applications. This course takes you deeper into advanced ML topics, focusing on practical techniques for improving model accuracy and performance.

What You’ll Learn:

• Advanced Machine Learning Algorithms: Support Vector Machines, Gradient Boosting (XGBoost)
• Feature Selection and Hyperparameter Optimization
• Model Deployment: Taking ML Models from Development to Production
• Introduction to Reinforcement Learning and Unsupervised Learning Models
• Hands-on Project: Build and Deploy a Production-Ready ML Model

Certification Requirement:

• Develop and optimize a machine learning model
• Submit and defend a working ML project with deployment considerations