Machine Learning R Course
This course provides a practical, end-to-end workflow for building and deploying machine learning models in R to address churn and upgrade problems in subscription products, focusing on data preparation, model tuning, evaluation, and business translation.

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
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...

Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.

Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.

Giulio CarloAluno de Engenharia de Prompt
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