From 426e4b92a9a3b7eb30fdd0e305529cc5c8eb2615 Mon Sep 17 00:00:00 2001 From: rayudupuneethsai Date: Sun, 28 Jun 2026 16:15:23 +0530 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3a6c4441..cb236843 100644 --- a/README.md +++ b/README.md @@ -85,7 +85,7 @@ GAMs extend generalized linear models by allowing non-linear functions of featur Since GAMs are additive, it is easy to examine the effect of each $X_i$ on $y$ individually while holding all other predictors constant. -As a result, GAMs are a class of very flexible and interpretable models, which also make it is easy to incorporate prior knowledge and control overfitting. +As a result, GAMs are a class of very flexible and interpretable models, which also make it easy to incorporate prior knowledge and control overfitting. ## Citing pyGAM Please consider citing pyGAM if it has helped you in your research or work: