{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":84253,"databundleVersionId":9421888,"sourceType":"competition"}],"dockerImageVersionId":30761,"isInternetEnabled":false,"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":"2024-08-23T20:41:00.536908Z","iopub.execute_input":"2024-08-23T20:41:00.537623Z","iopub.status.idle":"2024-08-23T20:41:00.545476Z","shell.execute_reply.started":"2024-08-23T20:41:00.537566Z","shell.execute_reply":"2024-08-23T20:41:00.544216Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom sklearn.metrics import mean_squared_error\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.linear_model import LinearRegression","metadata":{"execution":{"iopub.status.busy":"2024-08-23T20:41:00.548079Z","iopub.execute_input":"2024-08-23T20:41:00.548524Z","iopub.status.idle":"2024-08-23T20:41:00.555750Z","shell.execute_reply.started":"2024-08-23T20:41:00.548478Z","shell.execute_reply":"2024-08-23T20:41:00.554559Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train = pd.read_csv(\"/kaggle/input/first-steps-in-data-science-new/train (7).csv\")\ntest = pd.read_csv(\"/kaggle/input/first-steps-in-data-science-new/test (4).csv\")\nsubmission = pd.read_csv('/kaggle/input/first-steps-in-data-science-new/sample.csv')","metadata":{"execution":{"iopub.status.busy":"2024-08-23T20:41:05.013217Z","iopub.execute_input":"2024-08-23T20:41:05.014037Z","iopub.status.idle":"2024-08-23T20:41:06.779440Z","shell.execute_reply.started":"2024-08-23T20:41:05.013993Z","shell.execute_reply":"2024-08-23T20:41:06.778358Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.head()","metadata":{"execution":{"iopub.status.busy":"2024-08-23T20:42:55.907854Z","iopub.execute_input":"2024-08-23T20:42:55.908279Z","iopub.status.idle":"2024-08-23T20:42:55.942008Z","shell.execute_reply.started":"2024-08-23T20:42:55.908238Z","shell.execute_reply":"2024-08-23T20:42:55.940952Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.shape","metadata":{"execution":{"iopub.status.busy":"2024-08-23T20:47:08.023889Z","iopub.execute_input":"2024-08-23T20:47:08.024331Z","iopub.status.idle":"2024-08-23T20:47:08.031645Z","shell.execute_reply.started":"2024-08-23T20:47:08.024276Z","shell.execute_reply":"2024-08-23T20:47:08.030360Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.describe()","metadata":{"execution":{"iopub.status.busy":"2024-08-23T20:47:46.593378Z","iopub.execute_input":"2024-08-23T20:47:46.594434Z","iopub.status.idle":"2024-08-23T20:47:46.993596Z","shell.execute_reply.started":"2024-08-23T20:47:46.594385Z","shell.execute_reply":"2024-08-23T20:47:46.992571Z"},"trusted":true},"execution_count":null,"outputs":[]}]}