From 930203ec7217e591bc88f76b640f7b0e33bf66e4 Mon Sep 17 00:00:00 2001
From: Chris Goldammer <goldammer.christian@gmail.com>
Date: Sun, 6 Nov 2022 08:38:30 -0500
Subject: [PATCH] Fixed typo and slight link change

---
 01_intro.ipynb | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/01_intro.ipynb b/01_intro.ipynb
index ac30dc0..59977d2 100644
--- a/01_intro.ipynb
+++ b/01_intro.ipynb
@@ -2377,7 +2377,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This model is using the [*Adult* dataset](http://robotics.stanford.edu/~ronnyk/nbtree.pdf), from the paper \"Scaling Up the Accuracy of Naive-Bayes Classifiers: a Decision-Tree Hybrid\" by Rob Kohavi, which contains some demographic data about individuals (like their education, marital status, race, sex, and whether or not they have an annual income greater than \\$50k). The model is over 80\\% accurate, and took around 30 seconds to train."
+    "This model is using the *Adult* dataset, from the [paper]((http://robotics.stanford.edu/~ronnyk/nbtree.pdf) \"Scaling Up the Accuracy of Naive-Bayes Classifiers: a Decision-Tree Hybrid\" by Ron Kohavi, which contains some demographic data about individuals (like their education, marital status, race, sex, and whether or not they have an annual income greater than \\$50k). The model is over 80\\% accurate, and took around 30 seconds to train."
    ]
   },
   {
@@ -2917,6 +2917,18 @@
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.15"
   }
  },
  "nbformat": 4,