Predicting Salaries with Decision Trees

About this guided project

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.

What skills will you gain?

Predictive Analytics

Artificial Intelligence and Machine Learning (AI/ML)

Statistical Modeling

Predictive Modeling

Data Science

Machine Learning

Applied Machine Learning

Classification And Regression Tree (CART)

Statistical Machine Learning

Supervised Learning