update config

dsc_tutorials/00_ml-concepts.ipynb

@@ -0,0 +1,54 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Concepts of Machine Learning\n",
+    "\n",
+    "> Author: Bjarne C. Hiller\n",
+    "\n",
+    "WIP"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## ML Tasks\n",
+    "\n",
+    "- Classification\n",
+    "- Regression\n",
+    "- Clustering\n",
+    "- Dimensionality Reduction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Terminology\n",
+    "\n",
+    "- instances, samples\n",
+    "- target labels\n",
+    "- classes\n",
+    "- features\n",
+    "- data set"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## References\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

dsc_tutorials/01_python-intro.ipynb

@@ -14,8 +14,8 @@
    "metadata": {},
    "source": [
     "> In this tutorial, we will talk about snakes and planets: The Jupyter Notebook Environment and the programming language python.\n",
-    "\n",
-    "Author: Bjarne C. Hiller"
+    "> \n",
+    "> **Author**: Bjarne C. Hiller"
    ]
   },
   {
@@ -322,23 +322,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 4,
    "id": "7aa1feaa-e9db-4085-984d-93038671b76f",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\"There are 10 types of people: those who understand binary and those who don't.\""
+       "\"I'm not anti-social; I'm just not user friendly.\""
       ]
      },
-     "execution_count": 22,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "import pyjokes\n",
+    "import random\n",
+    "\n",
+    "random.seed(19)\n",
     "\n",
     "pyjokes.get_joke()"
    ]

dsc_tutorials/02_ecosystem.ipynb

@@ -6,7 +6,9 @@
    "source": [
     "# The Data Science Ecosystem\n",
     "\n",
-    "> What makes Python a great choice for data science is its ecosystem: This tutorial provides an overview of popular data science packages.  "
+    "> What makes Python a great choice for data science is its ecosystem: This tutorial provides an overview of popular data science packages.\n",
+    "> \n",
+    "> **Author**: Bjarne C. Hiller"
    ]
   },
   {

dsc_tutorials/_config.yml

@@ -14,6 +14,8 @@ logo                        : logo.png  # A path to the book logo
 # See https://jupyterbook.org/content/execute.html
 execute:
   execute_notebooks: force
+  # allow NotImplementedErros errors for now
+  allow_errors: true
 
 # Define the name of the latex output file for PDF builds
 latex:
@@ -27,14 +29,20 @@ bibtex_bibfiles:
 # Information about where the book exists on the web
 repository:
   url: https://github.com/bckrlab/dsc-tutorials # Online location of your book
-  path_to_book: dsc_tutorials  # Optional path to your book, relative to the repository root
+  path_to_book: dsc_tutorials/  # Optional path to your book, relative to the repository root
   branch: main  # Which branch of the repository should be used when creating links (optional)
 
 # Add GitHub buttons to your book
 # See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository
 html:
   baseurl: https://bckrlab.org/dsc-tutorials/
+  home_page_in_navbar: true
   use_issues_button: true
   use_repository_button: true
-
 # favicon:
+
+# launch notebooks in executable environment
+launch_buttons:
+  notebook_interface: "jupyterlab"
+  binderhub_url: "https://mybinder.org"
+  colab_url: "https://collab.research.google.com"

dsc_tutorials/intro.md

@@ -2,8 +2,9 @@
 
 > A common misconception: you actually CAN talk about Data Science Club.
 
-Data Science Tutorials
+WORK IN PROGRESS
 
+## Tutorials
 
 ```{tableofcontents}
 ```