Discover how to apply Test-Driven Development practices to machine learning projects in this 26-minute PyCon US talk. Learn to leverage Python libraries like pandas and Jupyter Notebooks for data analysis and manipulation. Gain confidence in your code by implementing TDD techniques for cleaning scripts and functions using pytest. Explore the process of building a simple movie recommendation engine with Scikit-Learn, covering data analysis, cleaning, feature preparation, and engine construction. Acquire strategies for ensuring code quality and understanding core machine learning concepts through live examples, empowering you to create robust and reliable machine learning applications.