Machine Learning R Course
This course provides a practical guide to building machine learning models for churn and upgrade prediction using R, covering data preparation, model building, evaluation, and business application.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Machine Learning R Course teaches you how to define churn and upgrade problems, prepare and validate subscription data, and engineer powerful behavioural features. You will build and tune models in R, evaluate them with business-focused metrics, and translate results into clear actions, experiments, and monitoring plans. Learn a practical, end-to-end workflow you can apply quickly to real subscription products.
Elevify advantages
Develop skills
- Churn modelling in R: frame prediction targets and costs for real business impact.
- Data prep in R: clean, encode, and engineer powerful churn and upgrade features.
- ML pipelines in R: train, tune, and compare logistic and tree-based models fast.
- Model evaluation: pick metrics, tune thresholds, and optimise ROI on churn actions.
- Business ML storytelling: explain model insights and recommend high-impact tests.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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