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.
작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.
작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.
분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.