{"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","_kg_hide-output":true,"_kg_hide-input":true,"execution":{"iopub.status.busy":"2023-06-30T10:01:04.399671Z","iopub.execute_input":"2023-06-30T10:01:04.400069Z","iopub.status.idle":"2023-06-30T10:01:04.410544Z","shell.execute_reply.started":"2023-06-30T10:01:04.400037Z","shell.execute_reply":"2023-06-30T10:01:04.409355Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Introduction","metadata":{}},{"cell_type":"markdown","source":"As an ardent user of Kaggle, I believe Kaggle needs some extra features to make it more useful and help fast-track the progress of the data science and machine learning community. Here are my suggestions for features that could make Kaggle more user-friendly, productive, and beneficial for both the users and Kaggle as an organization.","metadata":{}},{"cell_type":"markdown","source":"1. Addition of Video Teaching Materials:\n\nVideo teaching materials could bring teaching guides to life for those who find learning with texts and pictures challenging. This could also provide a more intuitive connection to certain topics for learners. Hamad [1] suggests that the proper use of audio-visuals is a good substitute for monotonous learning environments. Kartiningsih et al. [2] state that video-based learning helps increase students' cognitive abilities.","metadata":{}},{"cell_type":"markdown","source":"2. Addition of ChatGPT Plugin:\n\nIntegrating ChatGPT into Kaggle could give it a major boost, helping users improve the correctness and efficiency of their code. It could also enhance the quality of their code/notebooks and reduce the time spent on debugging and second-guessing their work. This feature would be useful for all categories of users, from novices to grandmasters. Sadeep [3] suggests that introducing ChatGPT to enterprise platforms can help generate code snippets, improve flexibility and adaptability, among other use cases.","metadata":{}},{"cell_type":"markdown","source":"3. Reorganizing Kaggle Learn:\n\nI believe Kaggle quizzes and topics are structured in a way that does not facilitate easy learning for beginners. Topics and quizzes are bundled together instead of being broken into shorter and more targeted learning segments. Some sub-topics are so comprehensive that they require more than one quiz to test the learner's knowledge effectively. The learning experience should also be made more interactive. Adding elements like animated quizzes and games could make Kaggle Learn more useful for potential and current users.","metadata":{}},{"cell_type":"markdown","source":"4. Kaggle Kids and Teens Platform:\n\nIt has come to my attention that the ML community tends to exclude kids and teens, which is unfortunate. I hope Kaggle breaks free from this trend. Therefore, I suggest creating a Kaggle Kids and Teens platform that allows kids and teens to get involved in data science and machine learning from an early age. One advantage of doing so is that many potential Kaggle users will find DS and ML more intuitive. Research in other fields suggests that taking such action will lead to a more robust ecosystem and an ample supply of talent.","metadata":{}},{"cell_type":"markdown","source":"References\n\n1. https://doi.org/10.47604/ajep.1912\n\n2. http://jurnal.serambimekkah.ac.id/index.php/ice/article/view/387/309\n\n3. https://appinventiv.com/blog/chatgpt-integration-in-enterprise/","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\nsubmission_df = pd.read_csv(\"/kaggle/input/2023-kaggle-ai-report/sample_submission.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-06-30T10:01:04.874336Z","iopub.execute_input":"2023-06-30T10:01:04.875031Z","iopub.status.idle":"2023-06-30T10:01:04.882576Z","shell.execute_reply.started":"2023-06-30T10:01:04.874987Z","shell.execute_reply":"2023-06-30T10:01:04.881732Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission_df.head()","metadata":{"execution":{"iopub.status.busy":"2023-06-30T10:01:04.891285Z","iopub.execute_input":"2023-06-30T10:01:04.892149Z","iopub.status.idle":"2023-06-30T10:01:04.902121Z","shell.execute_reply.started":"2023-06-30T10:01:04.892114Z","shell.execute_reply":"2023-06-30T10:01:04.901127Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission_df.loc[0]['value']='Others'\nsubmission_df.loc[1]['value']='https://www.kaggle.com/code/lordxerxes/notebook7dddf46a1f'\nsubmission_df.loc[2]['value']='https://www.kaggle.com/code/freeman007/generative-ai-work/comments#2323967'\nsubmission_df.loc[3]['value']='https://www.kaggle.com/code/naveedurrehman787/ai-ethics/comments#2323982'\nsubmission_df.loc[4]['value']='https://www.kaggle.com/code/viharkonda/kaggle-ai-report-essay/comments#2323996'\nsubmission_df.head()","metadata":{"execution":{"iopub.status.busy":"2023-06-30T10:01:05.335498Z","iopub.execute_input":"2023-06-30T10:01:05.336124Z","iopub.status.idle":"2023-06-30T10:01:05.348263Z","shell.execute_reply.started":"2023-06-30T10:01:05.336090Z","shell.execute_reply":"2023-06-30T10:01:05.347094Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission_df.to_csv('submission.csv', index=False)","metadata":{"execution":{"iopub.status.busy":"2023-06-30T10:01:05.350733Z","iopub.execute_input":"2023-06-30T10:01:05.351485Z","iopub.status.idle":"2023-06-30T10:01:05.360516Z","shell.execute_reply.started":"2023-06-30T10:01:05.351442Z","shell.execute_reply":"2023-06-30T10:01:05.359650Z"},"trusted":true},"execution_count":null,"outputs":[]}]}