What are some common AI models used for regression tasks?

What are some common AI models used for regression tasks?

Common AI models for regression include Linear Regression, Decision Trees, Random Forests, and Support Vector Regression.

Can you explain how Linear Regression works?

Linear Regression predicts the output by finding the best-fitting line through the data points, minimizing the error.

What are the advantages of using Random Forest for regression?

Random Forest reduces overfitting, handles non-linear relationships well, and provides feature importance insights.

Are there any limitations to these models?

Yes, models like Linear Regression assume linearity, while others may require more data and tuning for optimal performance.