Tip
We also have a free eBook that gathers all of the coding notebooks from this module! Check it out at machinelearning.hsma.co.uk.
If you’d rather follow along with the recorded HSMA sessions and exercises, these can be found below.
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
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