Introduction to Machine Learning: Supervised Learning

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This non-degree program is for students who want to learn about supervised machine learning, covering models like linear regression and decision trees. It's a week-long course at the University of Colorado Boulder. You'll gain hands-on experience with Python and data science libraries.

The curriculum focuses on supervised ML algorithms, including logistic regression, KNN, and ensembling methods. You'll learn to use data science libraries like NumPy, pandas, and sklearn. Prior coding knowledge is required, and college-level math skills are necessary.

After completing this course, you can pursue careers like Data Scientist, Machine Learning Engineer, Business Intelligence Developer, or Quantitative Analyst. You can work in industries like finance, healthcare, or technology, and potential employers include companies like Google, Microsoft, or IBM.