mlessentials/Lab06/Exercise6.01/Exercise6_01.ipynb

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   "cell_type": "markdown",
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    "colab_type": "text",
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   "source": [
    "# Importing and Splitting Data"
   ]
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    "colab": {},
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   "source": [
    "# import libraries\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split"
   ]
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   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "# data doesn't have headers, so let's create headers\n",
    "_headers = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'car']"
   ]
  },
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   "source": [
    "# read in cars dataset\n",
    "df = pd.read_csv('../Dataset/car.data', names=_headers, index_col=None)"
   ]
  },
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   "execution_count": null,
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   "source": [
    "df.head()\n",
    "\n",
    "# target column is 'car'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "colab": {},
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    "training, evaluation = train_test_split(df, test_size=0.3, random_state=0)"
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   "execution_count": null,
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    "colab": {},
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    "validation, test = train_test_split(evaluation, test_size=0.5, random_state=0)"
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   "execution_count": null,
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