Anyone About to Leave? Predicting the Customer Churn of a Telecommunications Provider

Telecommunications service providers face considerable pressure to expand and retain their subscriber base. One of the biggest cost factors are customers cancelling their contracts. Innovative service providers therefore have learned to use machine learning to predict which of their customers … Continued

Hyperparameter Tuning with Grid Search at the Example of a Random Forest Classifier with Python

The functionality of machine learning models can be controlled with their hyperparameters. The choice of these parameters often has a significant impact on model performance and, in practice, can make the difference between sufficient and outstanding performance. Data scientists therefore … Continued