diff --git a/README.md b/README.md index 00646d7..3914d0c 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,6 @@ # LogisticRegression Logistic regression from scratch in Python -This example uses gradient descent to fit the model. -It also contains a Scikit Learn's way of doing logistic regression, so we can compare the two implementations. +Logistic regression is basically a supervised classification algorithm. In a classification problem, the target variable(or output), y, can take only discrete values for given set of features(or inputs), X. + +This example uses gradient descent optimization algorithm to train the model. It also contains the logistic regression implementation using Scikit-learn library.This will help us compare the two implementations.