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

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It is a truth universally acknowledged, that a Srishti Art and Design student, in possession of a good Mac, must be terrified of coding.

- Code and Prejudice, Jane Austen, 1813

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