4A: Introduction to AI and Machine Learning
Session Lead: Dr Daniel Chalk
This session does not making use of a coding environment
4B: Logistic Regression - Who Would Survive the Titanic?
Session Lead: Dr Daniel Chalk
This session makes use of the base anaconda environment or the ml_sammi environment
4C: Ethics in AI
Session Lead: Dr Daniel Chalk
This session does not making use of a coding environment
4D: Decision Trees and Random Forests
Session Lead: Sammi Rosser
This session makes use of the ml_sammi environment
4E: Boosted Trees for Classification, and Tackling Regression (Numeric Prediction) Problems with Machine Learning
Session Lead: Sammi Rosser
This session makes use of the ml_sammi environment
4H: Reinforcement Learning
Session Lead: Dr Daniel Chalk
This session does not making use of a coding environment
4I: Synthetic Data using SMOTE
Session Lead: Dr Daniel Chalk
This session makes use of the smote_hsma environment
4J: Optimising Machine Learning Models
Session Lead: Sammi Rosser
This session makes use of the complete_ml environment
No matching items