Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

Abstract: Artificial intelligence (AI) is a field of science and technology that simulates human intelligence to develop intelligent machines. Machine Learning (ML), on the other hand, is a subset of ...

A complete machine learning pipeline for predicting customer churn using Random Forest classification, featuring comprehensive feature engineering and model evaluation. churn-prediction-model/ ├── ...

Customer churn remains a huge issue for telcos. Could AI actually help? Customer churn remains one of the telecom industry’s most persistent and expensive problems. Annual churn rates typically land ...

Abstract: Uplift Modeling can be an effective machine learning method when identifying the potential customers who have the highest possibility of creating a positive impact on the marketing ...

Customer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate ...

The Los Angeles Chargers lost to the San Francisco 49ers 30-23 on Saturday evening in their final game of the preseason. Now it is decision time for coach Jim Harbaugh and general manager Joe Hortiz.

A machine learning project that analyzes telecom customer data to predict churn using Logistic Regression, Decision Tree, and Random Forest models. Built with Python, scikit-learn, and data ...