Addressing imbalanced datasets is crucial in machine learning. Learn how disproportionate class ratios can affect model performance and how to handle them effectively using scikit-learn. Explore strategies to improve predictive accuracy and prevent bias towards majority classes for reliable outcomes in real-world applications.