A comprehensive cross-platform Python package for simulating realistic user behavior including intelligent web browsing with link crawling, dynamic file operations, advanced network file sharing with IP range support, and system monitoring.
A comprehensive machine learning model featuring behavioral pattern analysis and mobile device market segmentation using statistical methods, hypothesis testing, and unsupervised learning techniques. Built with Python, this project demonstrates practical applications of data extraction, preprocessing, and advanced analytics.
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