{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":3649,"databundleVersionId":46718,"sourceType":"competition"}],"dockerImageVersionId":30646,"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":"2024-02-19T10:46:18.496952Z","iopub.execute_input":"2024-02-19T10:46:18.497388Z","iopub.status.idle":"2024-02-19T10:46:19.810358Z","shell.execute_reply.started":"2024-02-19T10:46:18.497353Z","shell.execute_reply":"2024-02-19T10:46:19.809388Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data=pd.read_csv(\"/kaggle/input/cifar-10/trainLabels.csv\")\ntrain_data.head()","metadata":{"execution":{"iopub.status.busy":"2024-02-19T10:47:04.854901Z","iopub.execute_input":"2024-02-19T10:47:04.857410Z","iopub.status.idle":"2024-02-19T10:47:04.901157Z","shell.execute_reply.started":"2024-02-19T10:47:04.857351Z","shell.execute_reply":"2024-02-19T10:47:04.899882Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data.shape","metadata":{"execution":{"iopub.status.busy":"2024-02-19T10:47:17.335738Z","iopub.execute_input":"2024-02-19T10:47:17.336605Z","iopub.status.idle":"2024-02-19T10:47:17.345985Z","shell.execute_reply.started":"2024-02-19T10:47:17.336564Z","shell.execute_reply":"2024-02-19T10:47:17.344736Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data.tail()","metadata":{"execution":{"iopub.status.busy":"2024-02-19T10:47:32.232821Z","iopub.execute_input":"2024-02-19T10:47:32.233409Z","iopub.status.idle":"2024-02-19T10:47:32.248570Z","shell.execute_reply.started":"2024-02-19T10:47:32.233366Z","shell.execute_reply":"2024-02-19T10:47:32.246820Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data.columns","metadata":{"execution":{"iopub.status.busy":"2024-02-19T10:47:39.732069Z","iopub.execute_input":"2024-02-19T10:47:39.732535Z","iopub.status.idle":"2024-02-19T10:47:39.741086Z","shell.execute_reply.started":"2024-02-19T10:47:39.732493Z","shell.execute_reply":"2024-02-19T10:47:39.739843Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data.size","metadata":{"execution":{"iopub.status.busy":"2024-02-19T10:47:52.912664Z","iopub.execute_input":"2024-02-19T10:47:52.913125Z","iopub.status.idle":"2024-02-19T10:47:52.923040Z","shell.execute_reply.started":"2024-02-19T10:47:52.913093Z","shell.execute_reply":"2024-02-19T10:47:52.921819Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data.dtypes","metadata":{"execution":{"iopub.status.busy":"2024-02-19T10:48:05.808849Z","iopub.execute_input":"2024-02-19T10:48:05.809618Z","iopub.status.idle":"2024-02-19T10:48:05.821900Z","shell.execute_reply.started":"2024-02-19T10:48:05.809548Z","shell.execute_reply":"2024-02-19T10:48:05.820316Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data.info()","metadata":{"execution":{"iopub.status.busy":"2024-02-19T10:48:13.299910Z","iopub.execute_input":"2024-02-19T10:48:13.300483Z","iopub.status.idle":"2024-02-19T10:48:13.338301Z","shell.execute_reply.started":"2024-02-19T10:48:13.300434Z","shell.execute_reply":"2024-02-19T10:48:13.336897Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"raw","source":"","metadata":{}}]}