Decision Tree Course
Gain expertise in decision trees, Random Forests, and gradient boosting to forecast customer churn accurately. Master feature engineering, handle imbalanced datasets, interpret models with SHAP and LIME, and transform predictions into practical retention plans and business insights for revenue growth.
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. Learn data preparation, feature engineering, model splitting, evaluation for imbalanced data, decision trees, Random Forests, Gradient Boosted Trees, SHAP interpretation, and converting results into retention strategies and experiments.
Elevify advantages
Develop skills
- Prepare churn data efficiently by cleaning, profiling, and engineering features.
- Build, tune, and evaluate decision trees and ensemble models for churn prediction.
- Handle imbalanced churn data using cross-validation, stratification, and class weights.
- Explain models clearly with SHAP, LIME, and feature importance for business reports.
- Convert model insights into targeted retention strategies and 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.What our students say
Your classes 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 that I don't need.
Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.
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