From 57f31e3b43a8cdb15597d39faaf339545d467be1 Mon Sep 17 00:00:00 2001 From: Jasbir Singh Date: Thu, 8 Oct 2020 11:29:17 +0530 Subject: [PATCH 1/2] Update README.md --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 00646d7..8ed1907 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. From bf0bb3cdfae7cdab23391598e4cffde865ccb83d Mon Sep 17 00:00:00 2001 From: Jasbir Singh Date: Thu, 8 Oct 2020 11:29:38 +0530 Subject: [PATCH 2/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8ed1907..3914d0c 100644 --- a/README.md +++ b/README.md @@ -3,4 +3,4 @@ Logistic regression from scratch in Python 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. +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.