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Machine Learning Analytics Course

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

What will I learn?

The 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. You'll learn to select appropriate metrics, interpret and explain model decisions, create fair and privacy-conscious workflows, and convert predictions into targeted actions, A/B tests, and measurable returns on investment in a concise, practical 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 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... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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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