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