From b9062eb2b8cd09e4134e73e8f943846c0777b284 Mon Sep 17 00:00:00 2001
From: jeremie <jeremie.desgagne.bouchard@gmail.com>
Date: Sat, 1 Apr 2023 11:27:31 -0400
Subject: [PATCH] refresh tutorials

---
 docs/make.jl                                      | 2 +-
 docs/src/tutorials/logistic-regression-titanic.md | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/make.jl b/docs/make.jl
index f3716222..8deb3e53 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -9,7 +9,7 @@ pages = [
     "API" => "api.md",
     "Tutorials" => [
         "Regression - Boston" => "tutorials/regression-boston.md",
-        "Logistic Regression - Titanic" => "logistic-regression-titanic.md",
+        "Logistic Regression - Titanic" => "tutorials/logistic-regression-titanic.md",
         "Classification - IRIS" => "tutorials/classification-iris.md",
         "Internal API" => "tutorials/examples-API.md",
         "MLJ API" => "tutorials/examples-MLJ.md"]
diff --git a/docs/src/tutorials/logistic-regression-titanic.md b/docs/src/tutorials/logistic-regression-titanic.md
index 18d85944..e3b4354c 100644
--- a/docs/src/tutorials/logistic-regression-titanic.md
+++ b/docs/src/tutorials/logistic-regression-titanic.md
@@ -1,9 +1,9 @@
 # Logistic Regression on Titanic Dataset
 
-## Dataset
-
 We will use the Titanic dataset, which is included in the MLDatasets package. It describes the survival status of individual passengers on the Titanic. The model will be approached as a logistic regression problem, although a Classifier model could also have been used (see the `Classification - Iris` tutorial). 
 
+## Getting started
+
 To begin, we will load the required packages and the dataset:
 
 ```julia