Tidymodels: ML and AI in R, from Algorithms to Deployment

Abstract

Machine Learning and AI algorithms will be understood and implemented in R, using the tidy idiom. This is a course for students who have resonable familiarity in Data Analytics, and are familiar with the R language, and the tidyverse idiom. The course will cover the following topics:

• Installation of the tidymodels packages
• Different types of ML/AI purposes and algorithms (e.g. Classification / Regression / Clustering / Deep Learning)
• Data Preparation and Sampling
• Cross-Validation and Hyperparameter Tuning
• A consistent style of programming in R regardless of purpose or algorithm

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Modules