Advanced Machine Learning Techniques with scikit-learn (Advanced)
In this quest, you will dive deep into the world of advanced machine learning techniques using the scikit-learn library. You'll explore various algorithms such as ensemble methods, support vector machines, and neural networks, learning how to implement and optimize them for real-world applications. Through hands-on projects, you'll gain experience in model selection, hyperparameter tuning, and evaluating model performance. By the end of this quest, you will have a strong command of advanced machine learning methodologies, empowering you to tackle complex data-driven challenges effectively.
• Understand advanced machine learning algorithms and their applications
• Implement ensemble methods and support vector machines in scikit-learn
• Perform hyperparameter tuning and model selection using cross-validation
• Evaluate model performance using various metrics and techniques
