Estoy emocionado de compartir un proyecto reciente donde utilicé el poder del lenguaje R y la metodología de Machine Learning no supervisado para extraer insights críticos de los datos históricos de consumo de agua de la Ciudad de México, disponibles en el portal de datos abiertos de la CDMX. El objetivo principal fue ir más allá de la estadística descriptiva tradicional, utilizando K-Means Clustering para identificar patrones de consumo y cruzar estos resultados con la Detección de Outliers mediante el método del Rango Intercuartílico (IQR).

Site contenant des cours et ressources en statistiques, économétrie, data science et programmation, avec des exemples pratiques en R, Python et autres outils analytiques.

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The primary goal of this study is to identify similarities among European countries in terms of their level of development. Two key variables are used for this purpose. The first, GDP per capita, reflects a country’s economic and financial prosperity. The second, the Human Development Index (HDI), captures the quality of human capital, including factors such as life expectancy and years of education. Together, these variables provide a comprehensive view of a country’s development level. To explore patterns in the data, multiple clustering algorithms will be applied: k-means, PAM (Partitioning Around Medoids) and hierarchical clustering (both agglomerative and divisive approaches). Using different methods will help verify the robustness of the results and uncover meaningful groupings among European countries.

Explore Bangladesh: From Rivers to Resilience" is an interactive platform that brings the beauty, history, and culture of Bangladesh to your fingertips. Discover detailed information about the country’s geography, districts, population, rivers, and key services like hospitals, education, and public facilities. Dive into the rich history, including the independence movement, and explore cultural landmarks and local insights. The website combines data, maps, and narratives to give a comprehensive view of Bangladesh’s past, present, and development. Perfect for students, travelers, researchers, or anyone curious to learn and explore Bangladesh in depth.