Customer Churn Prediction and Model Comparison is a telecom customer churn project using Python, pandas, scikit-learn, XGBoost and imbalanced-learn. It covers data validation, preprocessing, feature ...
A production-ready machine learning pipeline to predict customer churn in the telecommunications industry. This project demonstrates end-to-end ML workflow including data preprocessing, feature ...
Q&A: Temporal aims to be the reliability backbone for an agentic AI economy Temporal Co-founder and CEO Samar Abbas weighs in on AI reliability, execution and what IT decision-makers should to keep in ...
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