{"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\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":"2022-08-07T00:08:21.642870Z","iopub.execute_input":"2022-08-07T00:08:21.643900Z","iopub.status.idle":"2022-08-07T00:08:21.673252Z","shell.execute_reply.started":"2022-08-07T00:08:21.643801Z","shell.execute_reply":"2022-08-07T00:08:21.672397Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd","metadata":{"execution":{"iopub.status.busy":"2022-08-07T00:10:41.013756Z","iopub.execute_input":"2022-08-07T00:10:41.014517Z","iopub.status.idle":"2022-08-07T00:10:41.018693Z","shell.execute_reply.started":"2022-08-07T00:10:41.014477Z","shell.execute_reply":"2022-08-07T00:10:41.017847Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pd.set_option('max_columns',None)","metadata":{"execution":{"iopub.status.busy":"2022-08-07T00:18:01.527638Z","iopub.execute_input":"2022-08-07T00:18:01.528157Z","iopub.status.idle":"2022-08-07T00:18:01.534646Z","shell.execute_reply.started":"2022-08-07T00:18:01.528115Z","shell.execute_reply":"2022-08-07T00:18:01.533554Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train0=pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/train.csv')\ntest0=pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/test.csv')\nsample_submission=pd.read_csv('../input/house-prices-advanced-regression-techniques/sample_submission.csv')","metadata":{"execution":{"iopub.status.busy":"2022-08-07T00:15:44.921128Z","iopub.execute_input":"2022-08-07T00:15:44.921777Z","iopub.status.idle":"2022-08-07T00:15:44.988365Z","shell.execute_reply.started":"2022-08-07T00:15:44.921724Z","shell.execute_reply":"2022-08-07T00:15:44.987013Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train0","metadata":{"execution":{"iopub.status.busy":"2022-08-07T00:16:10.092680Z","iopub.execute_input":"2022-08-07T00:16:10.093959Z","iopub.status.idle":"2022-08-07T00:16:10.142619Z","shell.execute_reply.started":"2022-08-07T00:16:10.093902Z","shell.execute_reply":"2022-08-07T00:16:10.141178Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test0","metadata":{"execution":{"iopub.status.busy":"2022-08-07T00:18:44.709522Z","iopub.execute_input":"2022-08-07T00:18:44.710941Z","iopub.status.idle":"2022-08-07T00:18:44.808175Z","shell.execute_reply.started":"2022-08-07T00:18:44.710892Z","shell.execute_reply":"2022-08-07T00:18:44.807012Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}