Overview
Context of the Machine Learning with Tree-Based Models in R course at Data Camp
Tree-based machine learning models can reveal complex non-linear relationships in data and often dominate machine learning competitions.
You’ll also learn to use boosted trees, a powerful machine learning technique that uses ensemble learning to build high-performing predictive models. Along the way, you'll work with health and credit risk data to predict the incidence of diabetes and customer churn.
Programme Structure
Chapters
- Classification Trees
- Regression Trees and Cross-Validation
- Hyperparameters and Ensemble Models
- Boosted Trees
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Information Technology (IT) Data Science & Big Data Machine Learning View 301 other Short Courses in Information Technology (IT) in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Modeling with tidymodels in R
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing