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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