Predicting Salaries with Decision Trees

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Create a machine learning model using industry standard tools and use it to make salary predictions.

Clock1.5 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 1.5 hour long project-based course, you will tackle a real-world prediction problem using machine learning. The dataset we are going to use comes from the U.S. Census Bureau; they recorded a number of attributes such as gender and occupation as well as the salary range for a sample of more than 32,000 Americans. We will fit a decision tree to this data, and try to predict the salary for a person we haven’t seen before. By the end of this project, you will have created a machine learning model using industry standard tools, including Python and sklearn. Note: This course 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

  • Python Programming
  • Machine Learning
  • sklearn

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. Load a dataset from file

  2. Process a dataset so that it can be modelled

  3. Split a dataset into training and testing sets

  4. Fit a decision tree to a dataset and make predictions

  5. Prune a decision tree to improve its accuracy

  6. Generate a graphical representation of a decision tree

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.