{"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":"# 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\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":"2022-04-11T14:41:47.859891Z","iopub.execute_input":"2022-04-11T14:41:47.860314Z","iopub.status.idle":"2022-04-11T14:41:47.889674Z","shell.execute_reply.started":"2022-04-11T14:41:47.860206Z","shell.execute_reply":"2022-04-11T14:41:47.888795Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df=pd.read_csv(\"../input/age-prediction/celebrities_final_test.csv\")\ndf","metadata":{"execution":{"iopub.status.busy":"2022-04-11T14:42:41.078362Z","iopub.execute_input":"2022-04-11T14:42:41.079111Z","iopub.status.idle":"2022-04-11T14:42:42.008942Z","shell.execute_reply.started":"2022-04-11T14:42:41.079067Z","shell.execute_reply":"2022-04-11T14:42:42.008030Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df=df.drop(['dob','photo_taken'],axis=1)","metadata":{"execution":{"iopub.status.busy":"2022-04-11T14:45:19.285311Z","iopub.execute_input":"2022-04-11T14:45:19.285699Z","iopub.status.idle":"2022-04-11T14:45:19.309922Z","shell.execute_reply.started":"2022-04-11T14:45:19.285659Z","shell.execute_reply":"2022-04-11T14:45:19.308537Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df","metadata":{"execution":{"iopub.status.busy":"2022-04-11T14:45:22.705758Z","iopub.execute_input":"2022-04-11T14:45:22.706113Z","iopub.status.idle":"2022-04-11T14:45:22.722828Z","shell.execute_reply.started":"2022-04-11T14:45:22.706078Z","shell.execute_reply":"2022-04-11T14:45:22.721675Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df.to_csv('submission.csv', index=False)","metadata":{"execution":{"iopub.status.busy":"2022-04-11T14:45:31.045790Z","iopub.execute_input":"2022-04-11T14:45:31.046130Z","iopub.status.idle":"2022-04-11T14:45:32.523313Z","shell.execute_reply.started":"2022-04-11T14:45:31.046094Z","shell.execute_reply":"2022-04-11T14:45:32.522302Z"},"trusted":true},"execution_count":null,"outputs":[]}]}