The Importance of Cross-Validation in Data Science

This chapter explains the concept of cross-validation in data science and its importance in avoiding overfitting and improving predictive power. Using the example of predicting sales data based on historical trends, the speaker highlights the need for a model that can generalize well to new data and explains how cross-validation helps achieve this.