Coursera Project Network
Regresión logística con NumPy y Python
Coursera Project Network

Regresión logística con NumPy y Python

Taught in Spanish

Juan Pablo Yepes

Instructor: Juan Pablo Yepes

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

  • Implementarás el algoritmo de descenso de gradientes desde cero

  • Realizarás una regresión logística con Numpy y Python

  • Crearás visualizaciones de datos con Matplotlib y Seaborn

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 Rhyme y al proyecto

  2. Importar el dataset y las librerías

  3. Visualización de los datos

  4. Definir la función logística de Sigmoid

  5. Calcular la función del costo y el gradiente

  6. Inicializar el costo y el gradiente

  7. Calcular el descenso del gradiente

  8. Trazar la convergencia de la función del costo

  9. Trazar el límite de decisión

  10. Realizar predicciones usando los valores optimizados

Recommended experience

experiencia previa en programación en Python, Conceptos básicos de estadística y teoría del Machine Learning

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Instructor

Juan Pablo Yepes
Coursera Project Network
6 Courses1,242 learners

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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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