A Machine Learning Model for Personalized Tariff Plan based on Customer’s Behavior in the Telecom Industry

Computer Science

• Machine Learning 100%
• Learning System 100%
• Behavioral Pattern 100%
• Random Decision Forest 50%
• Neural Network 25%
• Machine Learning Technique 25%
• Logistic Regression 25%
• Ensemble Learning 25%
• Decision Tree 25%
• Telecommunication 25%
• Learning Technique 25%
• Extreme Gradient Boosting 25%
• Decision Tree Classifier 25%
• Ensemble Technique 25%
• Gradient Boosting 25%
• Demographic Data 25%

Mathematics

• Customer Behavior 100%
• Logistic Regression 50%
• Statistical Hypothesis Testing 50%
• Conjoint Analysis 50%