Playground (Thinking About Testing)

Explore how to effectively split datasets into training, validation, and test sets within machine learning projects. Understand common problems that can arise during data splitting, such as the risks of improper partitioning, and learn strategies to avoid these pitfalls. This lesson helps you practice and think critically about testing models to improve their reliability and performance.