{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":59093,"databundleVersionId":7469972,"sourceType":"competition"}],"dockerImageVersionId":30635,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","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\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-01-15T01:16:26.414446Z","iopub.execute_input":"2024-01-15T01:16:26.415707Z","iopub.status.idle":"2024-01-15T01:16:41.654718Z","shell.execute_reply.started":"2024-01-15T01:16:26.415655Z","shell.execute_reply":"2024-01-15T01:16:41.653362Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"x_train = pd.read_csv('/kaggle/input/hms-harmful-brain-activity-classification/train.csv')\nx_test = pd.read_csv('/kaggle/input/hms-harmful-brain-activity-classification/test.csv')\nsubmit = pd.read_csv('/kaggle/input/hms-harmful-brain-activity-classification/sample_submission.csv')","metadata":{"execution":{"iopub.status.busy":"2024-01-15T01:23:31.123584Z","iopub.execute_input":"2024-01-15T01:23:31.123994Z","iopub.status.idle":"2024-01-15T01:23:31.290160Z","shell.execute_reply.started":"2024-01-15T01:23:31.123964Z","shell.execute_reply":"2024-01-15T01:23:31.289083Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"x_train","metadata":{"execution":{"iopub.status.busy":"2024-01-15T01:20:01.158354Z","iopub.execute_input":"2024-01-15T01:20:01.158752Z","iopub.status.idle":"2024-01-15T01:20:01.208616Z","shell.execute_reply.started":"2024-01-15T01:20:01.158721Z","shell.execute_reply":"2024-01-15T01:20:01.207167Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"x_test","metadata":{"execution":{"iopub.status.busy":"2024-01-15T01:22:18.979306Z","iopub.execute_input":"2024-01-15T01:22:18.981097Z","iopub.status.idle":"2024-01-15T01:22:18.992824Z","shell.execute_reply.started":"2024-01-15T01:22:18.981030Z","shell.execute_reply":"2024-01-15T01:22:18.991644Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submit","metadata":{"execution":{"iopub.status.busy":"2024-01-15T01:23:42.615893Z","iopub.execute_input":"2024-01-15T01:23:42.617232Z","iopub.status.idle":"2024-01-15T01:23:42.630411Z","shell.execute_reply.started":"2024-01-15T01:23:42.617182Z","shell.execute_reply":"2024-01-15T01:23:42.629309Z"},"trusted":true},"execution_count":null,"outputs":[]}]}