Decision Tree Course
Gain expertise in decision trees, random forests, and gradient boosting to forecast customer churn, uncover key drivers, and transform business intelligence data into straightforward, revenue-boosting actions through hands-on feature engineering, model evaluation, and insights ready for stakeholders.
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 workloadWhat our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
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.
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The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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