Linear Regression, Logistic Regression, Supervised Learning, Regression, Machine Learning.
can be used to solve a wide range of problems. While both models are based on the same underlying principles, they are used to predict different types of outcomes and have some important differences that you should be aware of. By understanding the strengths and limitations of each model, you can