Predicting Salaries with Decision Trees

提供方
Coursera Project Network
在此指导项目中,您将:

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

Clock1.5 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

  • Python Programming
  • Machine Learning
  • sklearn

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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