From 1b3affc2eddc8288f8bb4a73167d99b3eb2c4fc8 Mon Sep 17 00:00:00 2001 From: Erfan Alimohammadi Date: Sun, 16 Jun 2019 01:07:23 +0430 Subject: [PATCH] fix typo (#902) --- machine_learning/linear_regression.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/machine_learning/linear_regression.py b/machine_learning/linear_regression.py index 8c23f1f77..03f16629e 100644 --- a/machine_learning/linear_regression.py +++ b/machine_learning/linear_regression.py @@ -1,6 +1,6 @@ """ Linear regression is the most basic type of regression commonly used for -predictive analysis. The idea is preety simple, we have a dataset and we have +predictive analysis. The idea is pretty simple, we have a dataset and we have a feature's associated with it. The Features should be choose very cautiously as they determine, how much our model will be able to make future predictions. We try to set these Feature weights, over many iterations, so that they best