Data Science, Machine Learning, Regression, Data Analysis, Statistics.
outliers rather than the true underlying patterns. Model Complexity: Highly complex models (like high-degree polynomial regression) are prone to overfitting as they can adapt too closely to the training data. Lack of Regularization: Not using techniques like L1 or L2 regularization can lead to