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Updated to Pandas 3.X and corrected typos

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2026-03-02 17:44:01 +01:00
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ml2/3_0_0_Intro_ML_2.ipynb
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@@ -27,17 +27,17 @@
"source": [
"# Introduction to Machine Learning II\n",
" \n",
"In this lab session, we will go deeper in some aspects that were introduced in the previous session. This time we will delve into a little bit more detail about reading datasets, analyzing data and selecting features. In addition, we will explore the machine learning algorithm SVM in a binary classification problem provided by the Titanic dataset.\n",
"In this lab session, we will go deeper into the aspects introduced in the previous session. This time, we will delve a bit more deeply into reading datasets, analyzing data, and selecting features. In addition, we will explore the SVM machine learning algorithm on a binary classification problem using the Titanic dataset.\n",
"\n",
"# Objectives\n",
"\n",
"In this lecture we are going to introduce some more details about machine learning aspects. \n",
"In this lecture, we will introduce more details about machine learning. \n",
"\n",
"The main objectives of this session are:\n",
"* Learn how to read data from a file or URL with pandas\n",
"* Learn how to use the pandas DataFrame data structure\n",
"* Learn how to select features\n",
"* Understand better and SVM machine learning algorithm"
"* Understand better the SVM machine learning algorithm"
]
},
{
@@ -82,7 +82,7 @@
"metadata": {},
"source": [
"## Licence\n",
"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
"The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
"\n",
"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
]
@@ -104,7 +104,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.12"
"version": "3.12.2"
},
"latex_envs": {
"LaTeX_envs_menu_present": true,
@@ -125,5 +125,5 @@
}
},
"nbformat": 4,
"nbformat_minor": 1
"nbformat_minor": 4
}