- Predictive Analytics
- Data Visualization
- Logistic Regression
- Feature Engineering
- Model Evaluation
- Predictive Modeling
- Applied Machine Learning
- Data Preprocessing
- Machine Learning
- Clinical Data Management
- Tidyverse (R Package)
- Data Pipelines
Tidymodels in R: Building tidy machine learning models
Completed by Richard Acheampong
October 6, 2024
2 hours (approximately)
Richard Acheampong's account is verified. Coursera certifies their successful completion of Tidymodels in R: Building tidy machine learning models
What you will learn
Import, explore, and prepare the data for modeling using summary tables, data visualizations, and data splitting using tidymodels
Build and tune predictive models, including classification models with tidymodels
Evaluate model performance using appropriate metrics and techniques, and select the best model
Skills you will gain
