From 2b570737cb1705f1ccce3553401249b48c424562 Mon Sep 17 00:00:00 2001
From: manimeun <m.heu1995@gmail.com>
Date: Wed, 13 Oct 2021 14:45:16 +0200
Subject: [PATCH] Improve tutorial01 files
---
Assignment01_nb.ipynb | 30 +++++++++++++++++++++++-------
Pandas_intro.ipynb | 4 ++--
Python_numpy_intro.ipynb | 7 +++----
3 files changed, 28 insertions(+), 13 deletions(-)
diff --git a/Assignment01_nb.ipynb b/Assignment01_nb.ipynb
index 89bb6d2..0ddea64 100644
--- a/Assignment01_nb.ipynb
+++ b/Assignment01_nb.ipynb
@@ -7,9 +7,21 @@
"tags": []
},
"source": [
- "# Assignment Sheet 1 "
+ "# ML4DS - Notebook for Assignment 1"
]
},
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Author: Manuel Heurich\n"
+ ],
+ "metadata": {
+ "collapsed": false,
+ "pycharm": {
+ "name": "#%% md\n"
+ }
+ }
+ },
{
"cell_type": "markdown",
"id": "2dbfe254-4f29-4fbe-a465-3cd86ac7dfb4",
@@ -59,15 +71,19 @@
},
{
"cell_type": "code",
- "execution_count": null,
"id": "d17d2f78-21fe-495f-8501-c6dc7d5bdec0",
- "metadata": {},
- "outputs": [],
+ "metadata": {
+ "pycharm": {
+ "name": "#%% code\n"
+ }
+ },
"source": [
"# Take the first 8 rows of the dataframe\n",
"small_df = df.head(8)\n",
"small_df"
- ]
+ ],
+ "execution_count": null,
+ "outputs": []
},
{
"cell_type": "code",
@@ -229,9 +245,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.9"
+ "version": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
-}
+}
\ No newline at end of file
diff --git a/Pandas_intro.ipynb b/Pandas_intro.ipynb
index 5685f49..b0041a5 100644
--- a/Pandas_intro.ipynb
+++ b/Pandas_intro.ipynb
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# Data Mining I - Tutorial 2\n",
+ "# ML4DS - Pandas Intro\n",
"\n",
"In this second tutorial we will have a look at the pandas library and how to use it to get to know your data. Again, this tutorial only covers a few basics and is far from complete. You can find more detailed tutorials\n",
"[here](https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html). There is also a nice \n",
@@ -2773,4 +2773,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
-}
+}
\ No newline at end of file
diff --git a/Python_numpy_intro.ipynb b/Python_numpy_intro.ipynb
index 7f3fa38..868b380 100644
--- a/Python_numpy_intro.ipynb
+++ b/Python_numpy_intro.ipynb
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# Data Mining I - Tutorial 1\n",
+ "# ML4DS - Python & Numpy Intro\n",
"\n",
"In this first tutorial we will cover some python and numpy basics, as well as a short introduction of the Iris dataset.\n",
"\n",
@@ -2471,8 +2471,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Next week\n",
- "We will cover more data loading, selection, manipulation, exploration and visualization next week."
+ "Feel free to take a look at the other notebook introducing the Pandas library."
]
}
],
@@ -2497,4 +2496,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
-}
+}
\ No newline at end of file
--
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