Machine Learning with Tree-Based Models in R

Starting at USD 39.00
4 hours duration

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

This course focuses on the utilization of tree-based machine learning models to uncover intricate non-linear relationships within data, which frequently outperform other models in machine learning competitions. By employing the tidymodels package, participants will gain proficiency in examining and constructing various tree-based models, ranging from basic decision trees to intricate random forests. Additionally, the course will delve into the implementation of boosted trees, a potent machine learning technique that leverages ensemble learning to construct highly effective predictive models. Throughout the course, participants will engage with health and credit risk data to forecast the likelihood of diabetes occurrence and customer churn, thereby enhancing their practical understanding of these concepts.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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