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Decision Tree Course

Decision Tree Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This course teaches building precise churn prediction models from customer data. Learn data ingestion, cleaning, feature engineering, splitting techniques, and metrics for imbalanced datasets. Master decision trees, Random Forests, Gradient Boosted Trees, interpret results using SHAP, and develop actionable retention strategies and experiments.

Elevify advantages

Develop skills

  • Prepare churn data: clean, profile, and engineer features quickly.
  • Build decision trees and ensembles: tune and compare effective churn models.
  • Handle imbalanced data: use cross-validation, stratification, and class weights.
  • Explain models: apply SHAP, LIME, and feature importance for insights.
  • Create actionable plans: convert churn drivers into retention strategies.

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'm grateful 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 and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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