For your information, you need to implement Multi-Class (multi-nomial) Logistic Regression using one-vs-all method in Assignment-2. Please see the lecture slides for more information on one-vs-all method. All three datasets of UCI Datasets have more than two classes, so datasets are applicable for Multi-Class Logistic Regression. Another reminder (as announced several times in the class): please do not use any library functions (other than Numpy and Pandas) for your implementation. Please let me know if you have any questions. Thank you.