{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"ed2785e0-a1a5-ca54-87bd-c9ddfbf43860"},"outputs":[],"source":"import numpy as np \nimport pandas as pd\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"954a3f78-53a2-966b-ea50-68d1f83292c3"},"outputs":[],"source":"import pandas as pd\nimport numpy as np\nimport glob\nimport os\nimport cv2\nimport matplotlib.pyplot as plt\n%matplotlib inline\n\ntrain_data = pd.read_csv('../input/Train/train.csv')\ntrain_imgs = sorted(glob.glob('../input/Train/*.jpg'), key=lambda name: int(os.path.basename(name)[:-4]))"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"4fd7c5f0-9eab-e512-0b55-fe82bf36a604"},"outputs":[],"source":"train_data = pd.read_csv('../input/sample_submission.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"76f05b16-63fe-13dc-8beb-d39978976f8e"},"outputs":[],"source":"train_data"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"4ec9a66d-3a66-7d4e-587b-bf04fe95cff9"},"outputs":[],"source":"train"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"30dd2b7d-d021-e92a-4914-fc15964d7d6c"},"outputs":[],"source":""}],"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"}},"nbformat":4,"nbformat_minor":0}