6. Bonus - Other Applications.ipynb

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   "source": [
    "For this notebook, you are totally free to choose any project from [Kaggle](https://www.kaggle.com/) and play with the data and even participate to a challenge. \n",
    "\n",
    "If you are looking for a similar project to this one, I recommend you to look at :\n",
    "- [Mushroom Classification](https://www.kaggle.com/uciml/mushroom-classification) - Safe to eat or deadly poison?\n",
    "- [Red Wine Quality](https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009) - Safe to drink or deadly plonk ?\n",
    "- [Iris Species](https://www.kaggle.com/uciml/iris)"
   ]
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    "One advise: don't forget to create visualizations, it is really important to show and share what you understand from the data, sometimes it can introduce new understandings of the data."
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   "source": [
    "# Another Project ?"
   ]
  },
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   "source": [
    "## Import libraries"
   ]
  },
  {
   "cell_type": "code",
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   "source": []
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  {
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   "source": [
    "## Analysis of data"
   ]
  },
  {
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   "source": [
    "## Cleaning"
   ]
  },
  {
   "cell_type": "code",
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   "source": []
  },
  {
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   "source": [
    "## Metrics"
   ]
  },
  {
   "cell_type": "code",
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   "source": []
  },
  {
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   "source": [
    "## Features computation (Expert needed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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  },
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   "source": [
    "## Modelization"
   ]
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   "execution_count": null,
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   "source": []
  },
  {
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   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Submission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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