Decision Tree and Random Forest Classification using Julia

4.6
estrellas
12 calificaciones
ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Learn about stumps, decision trees and random forests.

Learn how to check the performance of a decision tree and random forest.

Work with a real world dataset.

Clock1 hour 30 minutes
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

This guided project is about glass classification using decision tree classification and random forest classification in Julia. It is ideal for beginners who do not know what decision trees or random forests are because this project explains these concepts in simple terms. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special features: 1) Simple explanations of important concepts. 2) Use of images to aid in explanation. 3) Challenges to ensure that the learner gets practice. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • Decision Tree
  • Data Analysis
  • Random Forest
  • Classification Algorithms
  • julia

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Learn about stumps and their importance.

  2. Learn how to build a decision tree.

  3. Learn how to prune a decision tree.

  4. Learn how to build a random forest.

  5. Learn how to do hyper parameter tuning

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.