This project compares the performance of Linear Regression and Logistic Regression for binary classification on a small dataset. The goal is to understand the differences between the two models and ...

# then , according to the given dataset, we put them to numpy arrays (reshape(-1,1) is because in the sk-learn we should define the dimension of features [features should be 2D]) x = np.array([-4.5, ...

Logistic regression ... a significant non-linear relationship between hs-CRP levels and incident IS (P non-linear <0.001). Furthermore, RAO patients with higher hs-CRP levels were more likely to be ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...