index

book/_config.yml

@@ -1,6 +1,6 @@
 #######################################################################################
 # A default configuration that will be loaded for all jupyter books
-# See the documentation for help and more options: 
+# See the documentation for help and more options:
 # https://jupyterbook.org/customize/config.html
 
 
@@ -104,8 +104,6 @@ sphinx:
     sitemap_url_scheme      : "{link}"
     bibtex_reference_style  : author_year
     bibtex_bibfiles         : ["references.bib"]
-    html_extra_path         : ["_ads"]
-    html_js_files           : [ ['https://plausible.io/js/script.js', {'defer': 'defer', 'data-domain': 'data-science-gui.de'}],
-                                ['https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-2158291969836277', {'async': 'async', 'crossorigin': 'anonymous'}]]
+    html_js_files           : [ ['https://plausible.io/js/script.js', {'defer': 'defer', 'data-domain': 'data-science-gui.de'}]]
   extra_extensions:
-    - sphinx_sitemap
+    - sphinx_sitemap

book/_toc.yml

@@ -2,7 +2,7 @@
 # Learn more at https://jupyterbook.org/customize/toc.html
 
 format: jb-book
-root: welcome
+root: index
 parts:
 - caption: Before we begin
   chapters:
@@ -24,8 +24,8 @@ parts:
   - file: notebooks/11 - Dealing with missing values
   - file: notebooks/12 - Formatting and deduping data
   - file: notebooks/14 - Scaling and binning data
-  - file: text/advanced-strategies 
-    sections: 
+  - file: text/advanced-strategies
+    sections:
     - file: notebooks/15 - Advanced Strategies (Schemas)
     - file: notebooks/16 - Advanced Strategies (Encoding)
 - caption: Exploratory Data Analysis
@@ -38,14 +38,14 @@ parts:
   - file: notebooks/25 - Finding and understanding relationships in data
 - caption: Machine Learning
   chapters:
-  - file: text/machine-learning-modelling 
+  - file: text/machine-learning-modelling
     sections:
     - file: notebooks/31 - Linear regression
     - file: notebooks/32 - Decision trees and random forests
     - file: notebooks/33 - Machine learning classification
     - file: notebooks/34 - Clustering for deeper data insights
-  - file: text/machine-learning-evaluation 
-    sections: 
+  - file: text/machine-learning-evaluation
+    sections:
     - file: notebooks/41 - Validating machine learning models
       title: Validating machine learning models
     - file: notebooks/42 - Machine learning interpretability
@@ -67,4 +67,4 @@ parts:
   - url: https://dramsch.net/courses
     title: All courses
   - url: https://dramsch.net
-    title: Jesper Dramsch
+    title: Jesper Dramsch