{"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":"2023-05-24T08:29:56.082099Z","iopub.execute_input":"2023-05-24T08:29:56.082902Z","iopub.status.idle":"2023-05-24T08:29:56.110634Z","shell.execute_reply.started":"2023-05-24T08:29:56.082839Z","shell.execute_reply":"2023-05-24T08:29:56.109507Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Import libraries","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np","metadata":{"execution":{"iopub.status.busy":"2023-05-24T08:29:56.113333Z","iopub.execute_input":"2023-05-24T08:29:56.113976Z","iopub.status.idle":"2023-05-24T08:29:56.118498Z","shell.execute_reply.started":"2023-05-24T08:29:56.113942Z","shell.execute_reply":"2023-05-24T08:29:56.117321Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dtypes={\n    'elapsed_time':np.int32,\n    'event_name':'category',\n    'name':'category',\n    'level':np.uint8,\n    'room_coor_x':np.float32,\n    'room_coor_y':np.float32,\n    'screen_coor_x':np.float32,\n    'screen_coor_y':np.float32,\n    'hover_duration':np.float32,\n    'text':'category',\n    'fqid':'category',\n    'room_fqid':'category',\n    'text_fqid':'category',\n    'fullscreen':'category',\n    'hq':'category',\n    'music':'category',\n    'level_group':'category'}","metadata":{"execution":{"iopub.status.busy":"2023-05-24T08:29:56.120229Z","iopub.execute_input":"2023-05-24T08:29:56.120981Z","iopub.status.idle":"2023-05-24T08:29:56.132919Z","shell.execute_reply.started":"2023-05-24T08:29:56.120947Z","shell.execute_reply":"2023-05-24T08:29:56.131947Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train=pd.read_csv('/kaggle/input/predict-student-performance-from-game-play/train.csv', dtype=dtypes)","metadata":{"execution":{"iopub.status.busy":"2023-05-24T08:29:56.135498Z","iopub.execute_input":"2023-05-24T08:29:56.136212Z","iopub.status.idle":"2023-05-24T08:32:03.908233Z","shell.execute_reply.started":"2023-05-24T08:29:56.136178Z","shell.execute_reply":"2023-05-24T08:32:03.907102Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train=train[:10000]","metadata":{"execution":{"iopub.status.busy":"2023-05-24T08:32:03.909752Z","iopub.execute_input":"2023-05-24T08:32:03.910142Z","iopub.status.idle":"2023-05-24T08:32:03.917785Z","shell.execute_reply.started":"2023-05-24T08:32:03.910111Z","shell.execute_reply":"2023-05-24T08:32:03.916804Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# EDA","metadata":{}},{"cell_type":"code","source":"train.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-24T08:32:03.922032Z","iopub.execute_input":"2023-05-24T08:32:03.922747Z","iopub.status.idle":"2023-05-24T08:32:03.959406Z","shell.execute_reply.started":"2023-05-24T08:32:03.922715Z","shell.execute_reply":"2023-05-24T08:32:03.958504Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.info()","metadata":{"execution":{"iopub.status.busy":"2023-05-24T08:32:03.961037Z","iopub.execute_input":"2023-05-24T08:32:03.961725Z","iopub.status.idle":"2023-05-24T08:32:03.991890Z","shell.execute_reply.started":"2023-05-24T08:32:03.961686Z","shell.execute_reply":"2023-05-24T08:32:03.991046Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2023-05-24T08:32:03.993332Z","iopub.execute_input":"2023-05-24T08:32:03.993962Z","iopub.status.idle":"2023-05-24T08:32:04.005962Z","shell.execute_reply.started":"2023-05-24T08:32:03.993931Z","shell.execute_reply":"2023-05-24T08:32:04.004802Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.corr()","metadata":{"execution":{"iopub.status.busy":"2023-05-24T08:32:04.007925Z","iopub.execute_input":"2023-05-24T08:32:04.008283Z","iopub.status.idle":"2023-05-24T08:32:04.040257Z","shell.execute_reply.started":"2023-05-24T08:32:04.008254Z","shell.execute_reply":"2023-05-24T08:32:04.039187Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}