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Decision Tree Course

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

What will I learn?

This course teaches building precise churn prediction models from customer data. Cover data ingestion, cleaning, feature engineering, splitting methods, and metrics for imbalanced datasets. Practice decision trees, Random Forests, Gradient Boosted Trees, interpret with SHAP, and develop actionable retention strategies.

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 churn: use CV, 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

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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