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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 will 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 the 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 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 thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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