{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\n%matplotlib inline\nimport warnings\nwarnings.filterwarnings('ignore')\nimport seaborn as sns","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-03-21T09:23:49.006087Z","iopub.execute_input":"2022-03-21T09:23:49.006410Z","iopub.status.idle":"2022-03-21T09:23:49.918716Z","shell.execute_reply.started":"2022-03-21T09:23:49.006321Z","shell.execute_reply":"2022-03-21T09:23:49.918251Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_dataset = pd.read_csv(\"../input/happy-whale-and-dolphin/train.csv\")","metadata":{"execution":{"iopub.status.busy":"2022-03-21T09:24:55.320489Z","iopub.execute_input":"2022-03-21T09:24:55.321046Z","iopub.status.idle":"2022-03-21T09:24:55.421455Z","shell.execute_reply.started":"2022-03-21T09:24:55.321012Z","shell.execute_reply":"2022-03-21T09:24:55.420998Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"","metadata":{}}]}