summaryrefslogtreecommitdiff
path: root/tutorials/module_4
diff options
context:
space:
mode:
authorChristian Kolset <christian.kolset@gmail.com>2025-10-17 10:29:28 -0600
committerChristian Kolset <christian.kolset@gmail.com>2025-10-17 10:29:28 -0600
commit9799770312e9ef456c441a2de62bce243182e87a (patch)
tree31d67f25d66a1416b20d00002c0646b28cff6d9a /tutorials/module_4
parent1a29cf20e0db1f8980c4dc87cd305a479d3a74e6 (diff)
Added module_*/notebook_* to .git/info/exclude
Diffstat (limited to 'tutorials/module_4')
-rw-r--r--tutorials/module_4/notebook_4/linear_regression.ipynb34
-rw-r--r--tutorials/module_4/notebook_4/plotting.ipynb17
2 files changed, 0 insertions, 51 deletions
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": {}
-}