Use Tidymodels Workflowsets to Predict Human-Computer Interactions from Star Trek
Offered By: Julia Silge via YouTube
Course Description
Overview
Explore machine learning techniques using tidymodels workflowsets to analyze Star Trek interaction data in this 32-minute tutorial. Learn how to evaluate various feature engineering and modeling approaches to predict whether a person or computer is speaking. Follow along as Julia Silge demonstrates data preparation, creating preprocessing recipes, building a workflowset, and interpreting results, including a linear model. Gain practical insights into applying these techniques to #TidyTuesday datasets and enhance your data science skills with R programming.
Syllabus
Introduction
Data
Machine Learning
Data Budget
Preprocessing Recipes
Making a workflowset
Results
Linear model
Conclusion
Taught by
Julia Silge
Related Courses
Data Science at Scale - Capstone ProjectUniversity of Washington via Coursera Feature Engineering for Improving Learning Environments
University of Texas Arlington via edX How to Win a Data Science Competition: Learn from Top Kagglers
Higher School of Economics via Coursera Advanced Machine Learning
The Open University via FutureLearn Feature Engineering
Google Cloud via Coursera