38 ratings
Analizar datos y generar modelos de regresión lineal y logística con Python
Encontrar los mejores parámetros para generar modelos óptimos
Al completar este proyecto de 1 hora de duración, entenderás y podrás desarrollar tus propios modelos de regresión (lineal y logístico) a partir de un conjunto de datos definidos, y optimizar los algoritmos de forma automática para encontrar los mejores parámetros para tus modelos. También podrás entender los pasos necesarios antes de diseñar tus modelos, como analizar tus datos y hacer limpiezas de acuerdo a los tipos de datos y caso de uso.
Python Libraries
Logistic Regression
Linear Regression
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Explorar y analizar los conjuntos de datos
Usar algoritmo de regresión lineal simple
Usar algoritmo de regresión lineal múltiple
Usar algoritmo de regresión logística
Ajustar los hiperparámetros del algoritmo
Seleccionar el mejor modelo
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by CM
May 11, 2020Muchas gracias, Interesante, me abre el camino a nuevo conocimiento en mi rama de trabajo.
Saludos y mucho exito en nuevos cursos
by IS
Jun 15, 2020Tutoría rápida y en la medida justa de lo ofrecido. Gracias!!
by LZ
May 2, 2020Buen Curso si te inicias en esto, te explica paso a paso para llegar al resultado
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