Machine Learning Analytics Course
Master churn prediction in the Machine Learning Analytics Course. Build robust models, engineer powerful features, interpret SHAP insights, and convert metrics into high-ROI actions for data-driven product, growth, and customer success teams in Kenya's dynamic markets.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Machine Learning Analytics Course teaches you to build reliable churn prediction models from start to finish, covering data ingestion, feature engineering, supervised modelling, evaluation, and deployment. Master selecting appropriate metrics, interpreting model decisions, creating fair and privacy-focused workflows, and transforming predictions into targeted actions, A/B tests, and measurable ROI through practical, hands-on sessions.
Elevify advantages
Develop skills
- Build ML churn pipelines: clean data, engineer features, train fast models.
- Tune and compare models: optimise metrics, handle imbalance, avoid leakage.
- Explain predictions: use SHAP, feature importance, clear business narratives.
- Evaluate ROI: link churn models to uplift, cost-benefit, KPI dashboards.
- Deploy and monitor: ship calibrated models, track drift, run A/B experiments.
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
Your lessons 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 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, simple to use. The diversity of content and complementary videos help a lot with learning.
André FelipePrompt Engineering Student
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