Coursera Project Network
Regresión lineal simple y múltiple en Python
Coursera Project Network

Regresión lineal simple y múltiple en Python

Taught in Spanish

Leire Ahedo

Instructor: Leire Ahedo

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

2 horas
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Desarrollarás un modelo de regresión lineal simple

  • Preprocesarás los datos para que adquieran las características necesarias para entrenar un modelo

  • Desarrollarás un modelo de regresión lineal múltiple

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

2 horas
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introducción a la regresión lineal

  2. Analisis exploratorio de datos para identificar linealidad y correlación

  3. Ejercicio Práctico. Visualización y análisis de datos

  4. Regresión lineal simple con Statsmodels

  5. Regresión lineal simple con Scikit-learn

  6. Ejercicio Práctico. Desarrollo de un modelo de regresión lineal simple

  7. Regresión lineal múltiple y evaluación de modelos

  8. Mejorando los resultados de la regresión y técnicas avanzadas de procesamiento de datos

  9. Modelos avanzados de regresión lineal

  10. Ejercicio Práctico. Desarrollo de un modelo de regresión lineal multiple

  11. Cumulative Challenge

Recommended experience

Python

11 project images

Instructor

Leire Ahedo
Coursera Project Network
50 Courses34,386 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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