Logistic Regression with Example

Logistic Regression is a Supervised Machine Learning Algorithm utilized for classification. Examples for classification include: Email spam or ham, will buy or not buy a product, disease predictions such as cancerous or noncancerous cells. Logistic regression is a Probability problem. Meaning that the outcome of the algorithm is between 0 and 1. It maintains a threshold value to classify the data points(samples).