{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "_cell_guid": "d6b12fec-f1a9-ff02-b478-8bcc09865a6b"
      },
      "source": [
        "# First look"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "5b5238a0-3532-1a8b-0c30-e63b3ff30bb7"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "26b9bdca-2da9-7db3-55ca-060bdf9a2d4f"
      },
      "outputs": [],
      "source": [
        "train_input = pd.read_csv('../input/train.csv')\n",
        "test_input = pd.read_csv('../input/test.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "77052cdc-eefd-6b69-1f33-434b1cf48936"
      },
      "outputs": [],
      "source": [
        "print(train_input.shape)\n",
        "train_input.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "e9a4d578-b2f0-1aed-ec61-72b5781d04e6"
      },
      "outputs": [],
      "source": [
        "print(test_input.shape)\n",
        "test_input.head()"
      ]
    }
  ],
  "metadata": {
    "_change_revision": 0,
    "_is_fork": false,
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.0"
    }
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  "nbformat": 4,
  "nbformat_minor": 0
}