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Machine Learning Analytics Course

Machine Learning Analytics Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

The Machine Learning Analytics Course teaches you how to build solid churn prediction models from start to finish, from taking in data and creating features to supervised modelling, checking results, and putting models into use. You will 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 real returns on investment in a short, practical way.

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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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