{"cells":[
 {
  "cell_type": "code",
  "execution_count": null,
  "metadata": {
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  },
  "outputs": [],
  "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\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport matplotlib.pyplot as plt\nfrom sklearn.ensemble import RandomForestClassifier\n\ntrain = pd.read_csv('../input/train.csv', sep=',')\n\nx  = train['x'].head(10000)"
 }
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