sitc/ml2/3_8_Exercise_2.ipynb

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    "![](images/EscUpmPolit_p.gif \"UPM\")"
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   "source": [
    "# Course Notes for Learning Intelligent Systems"
   ]
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   "source": [
    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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   "source": [
    "## [Introduction to Machine Learning II](3_0_0_Intro_ML_2.ipynb)"
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   "source": [
    "# Exercise 2 - The Titanic Dataset"
   ]
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   "source": [
    "In this exercise, we are going to put in practice what we have learnt in the notebooks of the session. \n",
    "\n",
    "In the previous notebook we have been applying the SVM machine learning algorithm.\n",
    "\n",
    "Your task is to apply other machine learning algorithms (at least 2) that you have seen in theory or others you are interested in.\n",
    "\n",
    "You should compare the algorithms and describe your experiments."
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   "metadata": {},
   "source": [
    "## Licence"
   ]
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   "source": [
    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
    "\n",
    "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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