From 310dcce234f4b5a3d164da651a31b36b1c2f0657 Mon Sep 17 00:00:00 2001 From: Srinivas Yalagam <31346213+yalagamsrinivas@users.noreply.github.com> Date: Sun, 21 Aug 2022 16:50:18 +0530 Subject: [PATCH 1/2] Update Simple+Linear+Regression+in+Python.ipynb fixed bug --- .../Simple+Linear+Regression+in+Python.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Simple Linear Regression in Python/Simple+Linear+Regression+in+Python.ipynb b/Simple Linear Regression in Python/Simple+Linear+Regression+in+Python.ipynb index 5bef2ac..e589e69 100644 --- a/Simple Linear Regression in Python/Simple+Linear+Regression+in+Python.ipynb +++ b/Simple Linear Regression in Python/Simple+Linear+Regression+in+Python.ipynb @@ -1468,8 +1468,8 @@ "source": [ "# One aspect that you need to take care of is that the 'fit_transform' can be performed on 2D arrays only. So you need to\n", "# reshape your 'X_train_scaled' and 'y_trained_scaled' data in order to perform the standardisation.\n", - "X_train_scaled = X_train.reshape(-1,1)\n", - "y_train_scaled = y_train.reshape(-1,1)" + "X_train_scaled = X_train.values.reshape(-1,1)\n", + "y_train_scaled = y_train.values.reshape(-1,1)" ] }, { From 41a87a7a96094461db90c2216146e36b2baa7521 Mon Sep 17 00:00:00 2001 From: Srinivas Yalagam <31346213+yalagamsrinivas@users.noreply.github.com> Date: Sun, 21 Aug 2022 16:53:42 +0530 Subject: [PATCH 2/2] Update Simple+Linear+Regression+in+Python.ipynb fixed bug --- .../Simple+Linear+Regression+in+Python.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Simple Linear Regression in Python/Simple+Linear+Regression+in+Python.ipynb b/Simple Linear Regression in Python/Simple+Linear+Regression+in+Python.ipynb index e589e69..61b02ab 100644 --- a/Simple Linear Regression in Python/Simple+Linear+Regression+in+Python.ipynb +++ b/Simple Linear Regression in Python/Simple+Linear+Regression+in+Python.ipynb @@ -992,8 +992,8 @@ "metadata": {}, "outputs": [], "source": [ - "X_train_lm = X_train_lm.reshape(-1,1)\n", - "X_test_lm = X_test_lm.reshape(-1,1)" + "X_train_lm = X_train_lm.values.reshape(-1,1)\n", + "X_test_lm = X_test_lm.values.reshape(-1,1)" ] }, {