• Aprender co?mo las subtareas de un proyecto de Machine Learning se asignan a Python y la mejor forma de trabajar a trave?s de cada tarea.
• Finalmente, se une todo el conocimiento explicado para desarrollar un problema de clasificacio?n y otro de regresio?n.
En los primeros capi?tulos se aprendera? a co?mo completar las subtareas especi?ficas de un proyecto de Machine Learning utilizando Python. Una vez que se aprenda a co?mo completar una tarea utilizando la plataforma y obtener un resultado de manera confiable se podra? utilizar una y otra vez en proyecto tras proyecto.
Un proyecto de Machine Learning, se puede dividir en 4 tareas:
6
• Definir el problema: investigar y caracterizar el problema para comprender mejor los objetivos del proyecto.
• Analizar los datos: usar estadi?sticas descriptivas y visualizarlas para comprender mejor los datos que se tiene disponible.
• Preparar los datos: utilizar las transformaciones de datos para exponer mejor la estructura del problema de prediccio?n a los algoritmos de Machine Learning.
• Evaluar los algoritmos: disen?ar pruebas para evaluar una serie de algoritmos
esta?ndar en los datos y seleccionar los mejores para investigar ma?s a fondo.
En la u?ltima parte del libro, unira? todo lo aprendido anteriormente, para el desarrollo de un proyecto, uno con algoritmos de clasificacio?n y otro con algoritmos de regresio?n.
Cada una de las lecciones esta?n disen?adas para leerse de principio a fin en orden, y mostrar exactamente co?mo completar cada tarea en un proyecto de Machine Learning. Por supuesto, se puede dedicar a capi?tulos especi?ficos, posteriormente, para refrescar los conocimientos. Los capi?tulos esta?n estructurados para demostrar las libreri?as y funciones y mostrar te?cnicas especi?ficas para una tarea de Machine Learning.
Cada capi?tulo esta disen?ado para completarse en menos de 30 minutos (dependiendo de su nivel de habilidad y entusiasmo). Es posible trabajar con todo el libro en un fin de semana. Tambie?n funciona, si desea, sumergirse en capi?tulos especi?ficos y utilizar el libro como referencia.
Este libro es una extensión del blog y el canal Youtube, acá encontrarás información complementaria a la publicada por esas vías.
Con este libro podrás aprender todo lo relacionado a implementar un proyecto de Machine Learning, desde las librerías a utilizar como las instrucciones más importante para implementar los algoritmos y evaluar el modelo final.
Encontrarás dos proyectos, uno para algoritmos de clasificación y otro para algoritmos de regresión.]]> Thu, 20 Aug 2026 23:42:58 +0000 es Copyright 202 6BiblioEteca Technologies SL I’m curious to find out what blog system you have been working with? I’m having some minor security problems with my latest website and I would like to find something more safe. Do you have any suggestions?evisa for Kenya ]]> Sat, 28 Mar 2026 11:47:04 +0000 I’m curious to find out what blog system you have been working with? I’m having some minor security problems with my latest website and I would like to find something more safe. Do you have any suggestions?evisa for Kenya ]]> Sat, 28 Mar 2026 11:47:05 +0000 I’ll immediately grasp your rss feed as I can not to find your e-mail subscription link or newsletter service. Do you’ve any? Kindly allow me understand in order that I may subscribe. Thanks.I’ll immediately grasp your rss feed as I can not to find your e-mail subscription link or newsletter service. 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