Machine Learning R Course
Master churn and upgrade prediction using the Machine Learning R Course. Gain skills in data preparation, modelling, evaluation, and interpretation in R to create robust, production-ready models that boost retention, revenue, and informed product decisions in tech.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Machine Learning R Course teaches defining churn and upgrade problems, preparing and validating subscription data, and engineering strong behavioural features. Build and tune R models, evaluate with business metrics, and turn results into actions, experiments, and monitoring. Apply a practical end-to-end workflow to real subscription products quickly.
Elevify advantages
Develop skills
- Churn modelling in R: frame prediction targets and costs for real business impact.
- Data preparation 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: select 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.

Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.

André FelipePrompt Engineering Student
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