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Decision Tree Course

Decision Tree Course
from 4 to 360h flexible workload
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: create, tune, and compare effective churn models.
  • Handle imbalanced churn: use cross-validation, stratification, and class weights.
  • Explain models: apply SHAP, LIME, and feature importance for clear insights.
  • Create actionable plans: convert churn drivers into retention strategies and tests.

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

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