Predictive Modeling in R With Tidymodels and NFL Attendance
Offered By: Julia Silge via YouTube
Course Description
Overview
Learn to train predictive models using R and the tidymodels framework with NFL game attendance data from #TidyTuesday. Follow along as Julia Silge demonstrates the process, including data acquisition, splitting, model building, evaluation, and results visualization. Gain hands-on experience with practical examples and access the complete code on Julia's blog for further exploration and implementation.
Syllabus
Introduction
Getting the data
Splitting the data
Building simple models
Evaluating the models
Visualization
Attendance split
Results visualization
Taught by
Julia Silge
Related Courses
Macroeconometric ForecastingInternational Monetary Fund via edX Machine Learning With Big Data
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
The Chinese University of Hong Kong via Coursera Data Science in Action - Building a Predictive Churn Model
SAP Learning