Machine Learning Analytics Course
This course provides hands-on training in developing end-to-end machine learning models for churn prediction, focusing on practical implementation, evaluation, and deployment.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Machine Learning Analytics Course teaches you how to build reliable churn prediction models from start to finish, from taking in data and preparing features to supervised modelling, checking results, and putting models into use. Learn to pick the best measures, understand and explain what models decide, create fair and privacy-focused processes, and change predictions into specific actions, A/B tests, and clear returns on investment in a short, practical way.
Elevify advantages
Develop skills
- Build ML churn pipelines: clean data, prepare features, and train quick models.
- Tune and compare models: improve measures, manage imbalance, and prevent leakage.
- Explain predictions: use SHAP, feature importance, and straightforward business stories.
- Evaluate ROI: connect churn models to uplift, cost-benefit, and KPI displays.
- Deploy and monitor: release adjusted models, follow drift, and carry out A/B 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
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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