This analysis examines a large dataset of political news articles to develop automated classification methods for identifying Trump-related and Fox News-related content. The dataset spans multiple years of political coverage during a period of significant media activity and political events. This work builds upon research in automated news categorization and applies scalable text processing techniques to handle large-scale news corpora. The methodology demonstrates efficient processing of substantial datasets while maintaining classification accuracy for media bias detection and political sentiment tracking.

Exploratory Analysis of App Ratings, Pricing, and Category Trends. Report generated by Victor Shamanovsky. © 2025 All rights reserved.

Informe con análisis exploratorio, regresión múltiple, predicciones y selección de ofertas para C&A Bienes Raíces.

frequency of pairs of non-missing data in experiments 1, 2, & 3

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Análisis financiero Caso 2 - Pronóstico de la variable CAN (Molienda de azúcar)