mlessentials/Lab07/Exercise7.01/Exercise7_01.ipynb

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    "# Import and Split Data"
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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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    "# data doesn't have headers, so let's create headers\n",
    "_headers = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'car']\n",
    "# read in cars dataset\n",
    "df = pd.read_csv('../Dataset/car.data', names=_headers, index_col=None)\n",
    "df.info()"
   ]
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    "#split the data into 80% for training and 20% for evaluation\n",
    "training_df, eval_df = train_test_split(df, train_size=0.8, random_state=0)"
   ]
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    "eval_df.info()"
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