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        "_cell_guid": "92db5999-8e96-50b2-b63b-64435520b3b7"
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      "source": [
        "# This Python 3 environment comes with many helpful analytics libraries installed\n",
        "# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n",
        "# For example, here's several helpful packages to load in \n",
        "\n",
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "\n",
        "# Input data files are available in the \"../input/\" directory.\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory"
      ]
    },
    {
      "cell_type": "code",
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      "metadata": {
        "_cell_guid": "0e14c72f-9cc7-6140-2b21-c680e5f7225c"
      },
      "outputs": [],
      "source": [
        "ls -lh ../input"
      ]
    },
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      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "17d95877-d8d7-77ed-3cfe-6081a0919941"
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      "source": [
        "clicks_test=pd.read_csv('../input/clicks_test.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "257d5c7a-2668-a7ad-9780-b5fcc045702e"
      },
      "outputs": [],
      "source": [
        "clicks_test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "a5dca72d-3b02-fd30-34a6-c623c738c444"
      },
      "outputs": [],
      "source": ""
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