sitc/ml21/preprocessing/00_Intro_Preprocessing.ipynb

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   "source": [
    "# Course Notes for Learning Intelligent Systems"
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    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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    "# Introduction to Preprocessing\n",
    "In this session, we will get more insight regarding how to preprocess data.\n"
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    "# Objectives\n",
    "The main objectives of this session are:\n",
    "* Understanding the need for preprocessing\n",
    "* Understanding different preprocessing techniques\n",
    "* Experimenting with several environments for preprocessing"
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   "source": [
    "# Table of Contents"
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    "1. [Home](00_Intro_Preprocessing.ipynb)\n",
    "3. [Initial Check](02_Initial_Check.ipynb)\n",
    "4. [Filter Data](03_Filter_Data.ipynb)\n",
    "5. [Unknown values](04_Unknown_Values.ipynb)\n",
    "6. [Duplicated values](05_Duplicated_Values.ipynb)\n",
    "7. [Rescaling Data](06_Rescaling_Data.ipynb)\n",
    "8. [Binarize Data](07_Binarize_Data.ipynb)\n",
    "9. [Categorial features](08_Categorical.ipynb)\n",
    "10. [String Data](09_String_Data.ipynb)\n",
    "12. [Handy libraries for preprocessing](11_0_Handy.ipynb)"
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   "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",
    "\n",
    "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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