{"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":"markdown","source":"<a id=\"1\"></a>\n# <p style=\"background-image: url(https://i.postimg.cc/4dsbJ40M/gahag-0102325023-1.png);font-family:camtasia;font-size:120%;color:Black;text-align:center;border-radius:15px 50px; padding:7px\">  Import Library</p>","metadata":{}},{"cell_type":"code","source":"import ydata_profiling\nimport numpy as np\nimport pandas as pd\nfrom ydata_profiling import ProfileReport","metadata":{"execution":{"iopub.status.busy":"2024-01-14T04:03:59.395478Z","iopub.execute_input":"2024-01-14T04:03:59.395961Z","iopub.status.idle":"2024-01-14T04:04:03.901029Z","shell.execute_reply.started":"2024-01-14T04:03:59.395918Z","shell.execute_reply":"2024-01-14T04:04:03.899721Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <p style=\"background-image: url(https://i.postimg.cc/4dsbJ40M/gahag-0102325023-1.png);font-family:camtasia;font-size:120%;color:Black;text-align:center;border-radius:15px 50px; padding:7px\">  Sample data acquisition</p>","metadata":{}},{"cell_type":"code","source":"df_train = pd.read_csv('/kaggle/input/hms-harmful-brain-activity-classification/train.csv', encoding=\"shift-jis\")\ndf_train.shape","metadata":{"execution":{"iopub.status.busy":"2024-01-14T04:04:06.145308Z","iopub.execute_input":"2024-01-14T04:04:06.146074Z","iopub.status.idle":"2024-01-14T04:04:06.636247Z","shell.execute_reply.started":"2024-01-14T04:04:06.146019Z","shell.execute_reply":"2024-01-14T04:04:06.634835Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"1\"></a>\n# <p style=\"background-image: url(https://i.postimg.cc/4dsbJ40M/gahag-0102325023-1.png);font-family:camtasia;font-size:120%;color:Black;text-align:center;border-radius:15px 50px; padding:7px\">  EDA Processing: ProfileReport</p>","metadata":{}},{"cell_type":"code","source":"profile_train = ProfileReport(df_train, title=\"train_prediction-of-tourist-arrivals Report\")\nprofile_train.to_notebook_iframe()","metadata":{"execution":{"iopub.status.busy":"2024-01-14T04:12:18.196462Z","iopub.execute_input":"2024-01-14T04:12:18.196968Z","iopub.status.idle":"2024-01-14T04:14:07.305520Z","shell.execute_reply.started":"2024-01-14T04:12:18.196930Z","shell.execute_reply":"2024-01-14T04:14:07.304440Z"},"trusted":true},"execution_count":null,"outputs":[]}]}