From 9799770312e9ef456c441a2de62bce243182e87a Mon Sep 17 00:00:00 2001
From: Christian Kolset <christian.kolset@gmail.com>
Date: Fri, 17 Oct 2025 10:29:28 -0600
Subject: Added module_*/notebook_* to .git/info/exclude

---
 .../module_4/notebook_4/linear_regression.ipynb    | 34 ----------------------
 tutorials/module_4/notebook_4/plotting.ipynb       | 17 -----------
 2 files changed, 51 deletions(-)
 delete mode 100644 tutorials/module_4/notebook_4/linear_regression.ipynb
 delete mode 100644 tutorials/module_4/notebook_4/plotting.ipynb

(limited to 'tutorials/module_4/notebook_4')

diff --git a/tutorials/module_4/notebook_4/linear_regression.ipynb b/tutorials/module_4/notebook_4/linear_regression.ipynb
deleted file mode 100644
index b2d8b37..0000000
--- a/tutorials/module_4/notebook_4/linear_regression.ipynb
+++ /dev/null
@@ -1,34 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linear Regression\n",
-    "\n",
-    "## Statical tools\n",
-    "\n",
-    "Numpy comes with some useful statistical tools that we can use to\n",
-    "analyze our data.\n",
-    "\n",
-    "### Mean\n",
-    "\n",
-    "The mean is the average of a set of numbers. It is calculated by summing\n",
-    "all the numbers and dividing by the count of numbers.\n",
-    "\n",
-    "``` python\n",
-    "import numpy as np\n",
-    "\n",
-    "mean = np.mean([1, 2, 3, 4, 5])\n",
-    "median = np.median([1, 2, 3, 4, 5])\n",
-    "std = np.std([1, 2, 3, 4, 5])\n",
-    "variance = np.var([1, 2, 3, 4, 5])\n",
-    "```"
-   ],
-   "id": "b53d7ecf-fc41-4a2b-9d08-c38af2507843"
-  }
- ],
- "nbformat": 4,
- "nbformat_minor": 5,
- "metadata": {}
-}
diff --git a/tutorials/module_4/notebook_4/plotting.ipynb b/tutorials/module_4/notebook_4/plotting.ipynb
deleted file mode 100644
index 48413d5..0000000
--- a/tutorials/module_4/notebook_4/plotting.ipynb
+++ /dev/null
@@ -1,17 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Plotting\n",
-    "\n",
-    "## matlibplot"
-   ],
-   "id": "206e407d-c28a-475a-b830-5f88c3f19e32"
-  }
- ],
- "nbformat": 4,
- "nbformat_minor": 5,
- "metadata": {}
-}
-- 
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