{"id":32,"date":"2026-01-08T17:16:30","date_gmt":"2026-01-08T16:16:30","guid":{"rendered":"https:\/\/quantilika.com\/?p=32"},"modified":"2026-01-08T17:16:30","modified_gmt":"2026-01-08T16:16:30","slug":"machine-learning-analisis-credito-scoring","status":"publish","type":"post","link":"https:\/\/quantilika.com\/?p=32","title":{"rendered":"Machine Learning en An\u00e1lisis de Cr\u00e9dito y Scoring"},"content":{"rendered":"<h2>Revoluci\u00f3n del Machine Learning en Finanzas<\/h2>\n<p>El machine learning est\u00e1 transformando la forma en que las instituciones financieras eval\u00faan el riesgo crediticio. Los modelos tradicionales de scoring est\u00e1n siendo reemplazados por algoritmos m\u00e1s sofisticados que pueden procesar grandes vol\u00famenes de datos no estructurados.<\/p>\n<h2>Modelos de Machine Learning Aplicados<\/h2>\n<h3>Random Forest<\/h3>\n<p>Los modelos de Random Forest son excelentes para identificar patrones complejos en datos crediticios, manejando bien las variables categ\u00f3ricas y num\u00e9ricas.<\/p>\n<h3>Gradient Boosting<\/h3>\n<p>XGBoost y LightGBM son algoritmos de gradient boosting que han demostrado ser muy efectivos en competencias de machine learning financiero.<\/p>\n<h2>Ventajas sobre Modelos Tradicionales<\/h2>\n<ul>\n<li>Mayor precisi\u00f3n en la predicci\u00f3n de default<\/li>\n<li>Capacidad de procesar datos alternativos (redes sociales, comportamiento online)<\/li>\n<li>Adaptaci\u00f3n continua a cambios en el mercado<\/li>\n<li>Reducci\u00f3n de falsos positivos y negativos<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Descubre c\u00f3mo el machine learning est\u00e1 revolucionando el an\u00e1lisis de cr\u00e9dito y el scoring financiero.<\/p>\n","protected":false},"author":1,"featured_media":37,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-32","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analisis-financiero"],"_links":{"self":[{"href":"https:\/\/quantilika.com\/index.php?rest_route=\/wp\/v2\/posts\/32","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/quantilika.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/quantilika.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/quantilika.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/quantilika.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=32"}],"version-history":[{"count":0,"href":"https:\/\/quantilika.com\/index.php?rest_route=\/wp\/v2\/posts\/32\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/quantilika.com\/index.php?rest_route=\/wp\/v2\/media\/37"}],"wp:attachment":[{"href":"https:\/\/quantilika.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=32"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/quantilika.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=32"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/quantilika.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=32"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}