What are linear regression and logistic regression, and how do they differ in predictive analytics? How does each model handle different types of target variables such as continuous and categorical outcomes? What are the key assumptions behind linear and logistic regression models? How do their mathematical approaches and outputs differ? What are the advantages and limitations of using each method in real-world predictive scenarios?