Implementation of Logistic Regression and KNN Classification using Python (Covid Patients Study)

In this video, an implementation of Logistic Regression and K-Nearest Neighbor methods is discussed using python programming. First we discuss how to do preprocessing of the raw data following the evaluating performance of the said methods. To evaluate the performance of both methods a dummy dataset of corona virus infected people is used, which can be found at the given link.
Note: This dataset is self-created. Don't use it for publishing research papers.