Machine Learning Analytics Course
This hands-on course teaches end-to-end machine learning for churn prediction, covering data handling, model building, evaluation, explanation, deployment, and ROI measurement with a focus on practical, business-aligned workflows.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Machine Learning Analytics Course shows you how to build reliable churn prediction models end to end, from data ingestion and feature engineering to supervised modelling, evaluation, and deployment. Learn to choose the right metrics, interpret and explain model decisions, design fair and privacy-aware workflows, and turn predictions into targeted actions, A/B tests, and measurable ROI in a compact, hands-on format.
Elevify advantages
Develop skills
- Build ML churn pipelines: clean data, engineer features, and train fast models.
- Tune and compare models: optimise metrics, handle imbalance, and avoid leakage.
- Explain predictions: use SHAP, feature importance, and clear business narratives.
- Evaluate ROI: link churn models to uplift, cost-benefit, and KPI dashboards.
- Deploy and monitor: ship calibrated models, track drift, and run A/B experiments.
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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful 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 I don't need.
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André FelipePrompt Engineering Student
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