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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 yuh how fi build solid churn prediction models from raw customer data. Yuh will learn data ingestion, cleaning, feature engineering, splitting methods, an' evaluation metrics fi imbalanced churn. Den yuh practice decision trees, Random Forests, an' Gradient Boosted Trees, interpret feature importance wid SHAP, an' turn model results inna clear retention insights an' experiments.

Elevify advantages

Develop skills

  • Churn-ready data prep: clean, profile, an' engineer BI features quick-quick.
  • Decision Trees & ensembles: build, tune, an' compare high-impact churn models.
  • Imbalanced churn handling: apply CV, stratification, an' class-weight tactics.
  • Model explainability: use SHAP, LIME, an' feature importance fi clear BI stories.
  • Actionable insights: turn churn drivers inna targeted retention an' test plans.

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 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'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, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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