Customer Churn Prediction Using Decision Trees
Daniil Lypenets
Python
6 Chapters
0 Studying now
A hands-on guided project where you will analyze the IBM Telco Customer Churn dataset, build a Decision Tree classifier, and extract actionable business insights to reduce churn and increase customer lifetime value.
Descripción del curso
A hands-on guided project where you will analyze the IBM Telco Customer Churn dataset, build a Decision Tree classifier, and extract actionable business insights to reduce churn and increase customer lifetime value.
Tecnología
Python
Lengua
En
Calificación
Capítulos
6
Data Inspection & Cleaning
Exploratory Analysis — Who Churns?
Feature Engineering
Train-Test Split & Decision Tree Model
Model Evaluation
Feature Importance & Business Interpretation
0%
Data Inspection & Cleaning
Exploratory Analysis — Who Churns?
Feature Engineering
Train-Test Split & Decision Tree Model
Model Evaluation
Feature Importance & Business Interpretation
