PYTHON207: SVM & Unsupervised Learning

Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. Wednesday 25 September, 9.30 am to 12.30 pm. Online. Register.