{"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":"2023-06-25T18:33:30.221519Z","iopub.execute_input":"2023-06-25T18:33:30.222444Z","iopub.status.idle":"2023-06-25T18:33:30.259417Z","shell.execute_reply.started":"2023-06-25T18:33:30.222410Z","shell.execute_reply":"2023-06-25T18:33:30.258395Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# The Introduction","metadata":{}},{"cell_type":"markdown","source":"Since its inception in 2010, Kaggle, founded by Anthony Goldbloom and Ben Hammer and acquired by Google in 2017, has gained fame in the field of data science and machine learning [1]. Reportedly, in 2023, Kaggle surpassed a membership of twelve million unique users [2]. Kaggle is the largest and most renowned data science platform, and as such, it is expected to have a significant influence and impact not only in the fields of data science (DS) and machine learning (ML) but also in other domains where DS and ML are applied. In this write-up, I aim to explore the current and future impacts of this platform, striving to do justice to the topic.","metadata":{}},{"cell_type":"markdown","source":"To begin unraveling the impact of Kaggle, it is beneficial to examine the framework of the platform—the sections and pages of its website. On the homepage of Kaggle.com, the prominent sections/pages on the left side are: Home, Competitions, Datasets, Models, Code, Discussions, Learn, and More. Let us continue exploring.","metadata":{}},{"cell_type":"markdown","source":"The Home page serves as a summarized view of the website, showcasing users and visitors with relevant information. The Competitions page displays a list of past and ongoing Kaggle competitions. Datasets is where Kaggle, its users, and collaborators store datasets for Kaggle competitions or personal projects that align with Kaggle's guidelines. Models, a recent addition to Kaggle, provides a platform to search and discover hundreds of trained, ready-to-deploy machine learning models in one place [3]. The Code page contains thousands of code examples written for Kaggle competitions or other purposes. The Learn page serves as Kaggle's default school, offering teachings on various DS and ML topics, ranging from beginner to advanced levels. The More page provides information on User Rankings, Blog, Documentation, and more.","metadata":{}},{"cell_type":"markdown","source":"","metadata":{}},{"cell_type":"markdown","source":"# Competitions That Have Changed The World","metadata":{}},{"cell_type":"markdown","source":"Competitions are a prominent feature of Kaggle. \nAlthough there is no readily available data on the total number of competitions hosted on Kaggle,\nthe impact of Kaggle competitions is worth discussing in detail. \nKaggle competitions have covered a wide range of topics, including computer vision, natural language processing (NLP), \nand reinforcement learning, encompassing the vast spectrum of tasks within the realm of DS and ML.","metadata":{}},{"cell_type":"markdown","source":"According to Zeeshan-Ul-Hassan Usmani, competitions hosted on Kaggle have had far-reaching impacts, such as enhancing and enabling state-of-the-art HIV/AIDS research and improving traffic forecasting [4]. In addition, Inversion, a Kaggle staff member, has stated that several papers inspired by Kaggle competitions are available on arxiv.org. Furthermore, he revealed that some hosts have directly utilized winning models, with the majority being derived from bits and pieces of winning models, as well as ideas from forums [5].","metadata":{}},{"cell_type":"markdown","source":"To provide specific examples of Kaggle competitions and their impact, here is a list of some competitions hosted on Kaggle, along with their sponsors and respective fields [8].\n","metadata":{}},{"cell_type":"markdown","source":"# A Recruitment Platform for Employers","metadata":{}},{"cell_type":"markdown","source":"Numerous Kaggle users attest that Kaggle has been instrumental in their training and qualification for DS and ML job opportunities. As mentioned in [6], Hakiran78 testifies that Kaggle competitions greatly enhance participants' resumes, and notable companies like Facebook, Airbnb, Walmart, etc., have organized Kaggle competitions for recruitment purposes.","metadata":{}},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# References","metadata":{}},{"cell_type":"markdown","source":"1. https://www.ai.nl/artificial-intelligence/kaggle-made-data-science-competitive-a-look-at-its-history-key-members-and-major-achievements/\n\n2. https://www.kaggle.com/iclr-2023\n\n3. https://www.kaggle.com/models\n\n4. https://www.kaggle.com/discussions/getting-started/44916\n\n5. https://www.kaggle.com/discussions/general/243348\n\n6. https://www.geeksforgeeks.org/is-kaggle-useful-in-finding-a-machine-learning-job/\n\n7. https://www.kaggle.com/competitions\n    ","metadata":{}},{"cell_type":"markdown","source":"This is my initial draft. I appreciate criticisms and helps. To be continued.","metadata":{}}]}