Machine Learning Basics
Overview of training data, features, labels, classifiers, and evaluation (accuracy, precision, recall).
Practice: implement a simple k-NN classifier on a small dataset.
Week 4 - Machine Learning Basics
Week 4
Intro to supervised learning, classification, and evaluation metrics.