File Name: | R tidymodels part 1: Introduction |
Content Source: | https://www.udemy.com/course/r-tidymodels-part-1-introduction |
Genre / Category: | Other Tutorials |
File Size : | 5.9 GB |
Publisher: | Marko Intihar |
Updated and Published: | July 21, 2025 |
Whether you’re a data analyst, aspiring data scientist, or a tidyverse user seeking to enhance your modeling skills, this course introduces you to tidymodels, a powerful and consistent framework for statistical modeling and machine learning in R.
This course gives you a solid foundation in predictive modeling. We begin with the fundamentals of regression modeling and guide you through the complete modeling workflow using tidymodels:
- Understand what modeling is — and how it’s different from just analyzing data.
- Grasp the principles of statistical learning and machine learning.
- Build, validate, and interpret linear regression models.
- Discover the power of penalized regression (ridge, lasso, elastic net).
- Learn the concept of the bias-variance trade-off and how regularization helps.
- Apply consistent, tidy workflows for:
- preprocessing with recipes
- modeling with parsnip
- resampling with rsample
- evaluation with yardstick
- tuning with tune
- Start using best practices like train/test splits, cross-validation, and performance metrics.
You’ll walk away not just knowing how to use the tools, but understanding the modeling process itself!
Who this course is for:
- Anyone who is interested in data science
- Anyone who is interested in statistics
- Anyone who is interested in building predictive models using machine learning
- Anyone who is interested in writing efficient R code
- Anyone whose job, research or hobby is related to building predictive models
- Aspiring data scientists, statisticians or machine learning engineers
- Anyone who deals with data modeling and would like to get familiar with modern R approach for modeling
- Students building predictive models
- Data scientist who mainly use python in their work, and would like to extend their skills into R domain
DOWNLOAD LINK: R tidymodels part 1: Introduction
R_tidymodels_part_1_Introduction.part1.rar – 1000.0 MB
R_tidymodels_part_1_Introduction.part2.rar – 1000.0 MB
R_tidymodels_part_1_Introduction.part3.rar – 1000.0 MB
R_tidymodels_part_1_Introduction.part4.rar – 1000.0 MB
R_tidymodels_part_1_Introduction.part5.rar – 1000.0 MB
R_tidymodels_part_1_Introduction.part6.rar – 989.6 MB
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