Modelos predictivos con Machine Learning
About this Course
La ciencia de los datos es soportada por diversas áreas de conocimiento, siendo el aprendizaje automático una de las más relevantes. ¿Y qué es esto? Es la creación de modelos predictivos, regresivos y de clasificación a partir de una fuente amplia de datos, que se divide en dos principales categorías: Aprendizaje Supervisado y No Supervisado. En este curso aprenderás los fundamentos del aprendizaje automático y obtendrás las herramientas necesarias para la creación de modelos de predicción, regresión y clasificación con ayuda de Phyton.Created by: Universidades Anáhuac
Level: Intermediate

Related Online Courses
It’s now time to continue your captivating journey through the history of gaming. In this second course, you will learn about the technological advancements of the early 1990s and the development o... more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more
This course introduces the concept of a designer working for themselves and creating their own design-driven brand. It requires learners to apply ideas to a real-life setting. By the end of this... more
There are many categories of video games, often classified by their characteristics or goals—not by the type of gameplay they contain. Are you curious to learn about the growing variety of genres a... more
This course is part of W3C's "Front-End Web Developer" Professional Certificate. Have you just begun your journey into Web development? This course introduces you to the basics of Web design and... more