In this path, you’ll learn the fundamentals of Python so you can prepare data and clean and correct errors. You’ll also learn to master various components and techniques of machine learning, like calculus, linear algebra, linear regression, k-nearest neighbors, k-means clustering, and decision trees.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Programming with Python to perform complex statistical analysis
Creating data visualizations to share insights with stakeholders
Building basic machine learning projects from start to finish
Creating and improving basic predictive models
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