Data Science Project

This collection encompasses a variety of projects utilizing machine learning techniques to analyze and predict outcomes across different domains, including healthcare, finance, marketing, and customer behavior. Key themes include predictive modeling for risk assessment, customer segmentation, fraud detection, employee attrition, and decision-making improvements through data-driven insights. The documents detail methodologies such as data preprocessing, feature engineering, model selection, and performance evaluation, showcasing practical applications of machine learning in real-world scenarios.