Logistic Regression

Binary Classification is done by making a Decision Boundary through logistic regression approach

Logistic regression is a classification approach for different classes of data in order to predict whether a data point belongs to one class or another. Sigmoid hypothesis function is used to calculate the probability of y belonging to a particular class. Training data is normalized using Zscore.