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| author | Christian Kolset <christian.kolset@gmail.com> | 2025-10-17 10:29:28 -0600 |
|---|---|---|
| committer | Christian Kolset <christian.kolset@gmail.com> | 2025-10-17 10:29:28 -0600 |
| commit | 9799770312e9ef456c441a2de62bce243182e87a (patch) | |
| tree | 31d67f25d66a1416b20d00002c0646b28cff6d9a /tutorials/module_4 | |
| parent | 1a29cf20e0db1f8980c4dc87cd305a479d3a74e6 (diff) | |
Added module_*/notebook_* to .git/info/exclude
Diffstat (limited to 'tutorials/module_4')
| -rw-r--r-- | tutorials/module_4/notebook_4/linear_regression.ipynb | 34 | ||||
| -rw-r--r-- | tutorials/module_4/notebook_4/plotting.ipynb | 17 |
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": {} -} |
