Training 5: Supervised Learning
Time & Location
About The Event
1. Demonstrate the understanding on how different supervised learning algorithms
2. Demonstrate the understanding of the strengths and weaknesses of particular supervised learning methods
3. Apply specific supervised machine learning algorithms in Python with scikit-learn.
4. Apply techniques like regularization, feature scaling, and cross-validation to avoid common pitfalls like under- and overfitting.