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Predicting Salaries with Decision Trees

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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.

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Discover the power of machine learning with "Predicting Salaries with Decision Trees," a focused and practical course designed for those looking to advance their personal development in data science. Led by Coursera, this intermediate-level, project-based course spans 1.5 hours, offering a concise yet comprehensive dive into the world of prediction problems. You'll learn to apply decision tree algorithms to predict salaries, gaining hands-on experience with real-world data. This course is perfect for learners who have a basic understanding of machine learning and are eager to enhance their skills through practical application. Best of all, it's available for free, making it an accessible opportunity for anyone ready to take the next step in their data science journey.