YoVDO

Predict Class Membership for the Datasaurus Dozen With Tidymodels

Offered By: Julia Silge via YouTube

Tags

Data Science Courses Data Visualization Courses Machine Learning Courses ROC Curve Courses Model Evaluation Courses Resampling Courses tidymodels Courses

Course Description

Overview

Learn to predict class membership for the Datasaurus Dozen dataset using tidymodels in this informative 27-minute video tutorial by Julia Silge. Explore multiclass evaluation metrics to determine which of the #TidyTuesday Datasaurus Dozen are easier or harder for a random forest model to identify. Follow along as the tutorial covers key concepts including resampling, preprocessing, evaluation, ROC curves, confusion matrices, and result visualization. Gain practical insights into model performance and interpretation, with code examples available on Julia's blog for further study and implementation.

Syllabus

Introduction
Get mean and correlation
Resampling
Preprocessing
Evaluation
Results
ROC Curves
ROC Comparison
Confusion Matrix
Visualization
Conclusion


Taught by

Julia Silge

Related Courses

Macroeconometric Forecasting
International 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