{"id":166848,"date":"2023-02-20T12:52:00","date_gmt":"2023-02-20T11:52:00","guid":{"rendered":"https:\/\/liora.io\/en\/?p=166848"},"modified":"2026-08-06T14:22:58","modified_gmt":"2026-08-06T13:22:58","slug":"kaggle-all-about-this-platform","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/kaggle-all-about-this-platform","title":{"rendered":"Kaggle : All you need to know about this platform"},"content":{"rendered":"\n<p><strong>If you&#8217;ve been doing data science for a while you&#8217;ve probably heard of Kaggle. And you haven&#8217;t, it won&#8217;t be long now. Let&#8217;s take a look at what Kaggle is and why it&#8217;s become an indispensable tool in the world of data science!<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-kaggle\">What is Kaggle?<\/h2>\n\n\n\n<p>Kaggle is a <strong>web platform<\/strong> that hosts the world&#8217;s largest Data Science community, with over <strong>536,000 active members in 194 countries<\/strong> and receives nearly 150,000 submissions per month, and provides it with powerful tools and resources to help achieve all data science advancements. Kaggle, like <strong>Liora<\/strong>, offers a customizable, configuration-free<strong> Jupyter Notebooks environment<\/strong>. GPUs and a large amount of data and code published by the community are <strong>freely available<\/strong>. Inside Kaggle, you&#8217;ll find all the code and data you need to complete your data science projects. There are over <strong>50,000 public datasets and 400,000 public notebooks<\/strong> available for everyone to use.<\/p>\n\n\n\n<p>This platform is trusted by some of the largest Data Science companies in the world, such as <strong>Walmart <\/strong>or <strong>Facebook<\/strong>. The platform allows <strong><a href=\"https:\/\/liora.io\/en\/how-to-become-a-data-scientist\">data scientists<\/a><\/strong> and other developers to participate in machine learning contests or data challenges, <strong>write and share code<\/strong>, and host datasets.<\/p>\n\n\n\n<p>The topics covered on Kaggle are extremely diverse, ranging from trying to <strong>predict the onset of cancer<\/strong> by examining patient records to <strong>analyzing the sentiment of movie reviews<\/strong>. The platform offers interesting and challenging projects where contributors can learn and practice, and <strong>offers discussions<\/strong> with industry leaders and experts.<\/p>\n\n\n\n<p>In summary, on Kaggle a user can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Find and publish databases<\/li>\n<li>Explore and build models on a web-enabled environment<\/li>\n<li>Work with other professionals and enthusiasts<\/li>\n<li>Compete to challenge each other on innovative topics<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center wp-container-core-buttons-is-layout-5ee10de4\" style=\"margin-top:32px;margin-bottom:32px\"><div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/liora.io\/en\/courses\/data-ai\/data-engineer\">Learn to use Kaggle<\/a><\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"kaggle-competitions-what-are-we-talking-about\">Kaggle Competitions : What are we talking about?<\/h2>\n\n\n\n<p>Competitions are the mainstay of the Kaggle platform. They allow you to <strong>challenge yourself by having rankings<\/strong> as a performance benchmark and motivating factor. Although there is a competitive emulation, <strong>the community is always benevolent<\/strong> and your questions are welcome, the goal being to push data science innovations. Competitions are of 4 different types:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Sponsored <\/strong>: They are sponsored by companies, associations and even governments, with big prizes at stake.<\/li>\n<li><strong>Research <\/strong>: They are research oriented and the prizes are much smaller.<\/li>\n<li><strong>Hiring<\/strong> : Rarer, these competitions have a job offer by the sponsoring company at the end.<\/li>\n<li><strong>Affordable <\/strong>: These competitions have no prizes, but they are tailored for new users with accessible topics and easily interpretable data. You can join at any time.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\" style=\"margin-top:32px;margin-bottom:32px\"><img alt=\"Kaggle competitions\" decoding=\"async\" height=\"497\" loading=\"lazy\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/02\/Kaggle-competitions.png\" style=\"width:100%;height:auto\" width=\"800\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-could-i-start-using-kaggle\">How could I start using Kaggle?<\/h2>\n\n\n\n<p>Now that you&#8217;re convinced of the value of Kaggle and you want to start practicing ? Here are some tips on how you can successfully join this community :<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Advance gradually<\/strong> : The best way to get better is to go slowly but surely, starting with simple topics with easily interpretable data.<\/li>\n<li><strong>Get inspired by the codes with the most votes<\/strong>: Kaggle offers for each competition a ranking of the &#8220;best&#8221; codes. These notebooks are often well explained and progressive.<\/li>\n<li><strong>Do not hesitate to use the forum <\/strong>: As with <strong>Liora training<\/strong>, Kaggle offers a forum to ask for help from other users. There are no stupid questions and Kagglers are often very happy to answer other <strong>enthusiasts<\/strong>.<\/li>\n<li><strong>Work alone<\/strong> : It is important to focus on yourself, to really challenge yourself and then work in a team to push the limits of your knowledge.<\/li>\n<li><a href=\"\/en\/courses\/data-ai\/\"><strong>Follow the Data<\/strong><strong>scientest trainings<\/strong><\/a> to fully understand the concepts and become a professional <strong><a href=\"https:\/\/liora.io\/en\/data-scientist-vs-data-analyst-what-are-the-main-differences\">Data Scientist or Analyst<\/a><\/strong> !<\/li>\n<\/ol>\n\n\n\n<p>Practicing data science can be technically challenging and Kaggle has <strong>changed the landscape of data science<\/strong> since 2010 by providing an accessible and comprehensive platform. The wide range of difficulties allows for content of all levels and for all tastes.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center wp-container-core-buttons-is-layout-5ee10de4\" style=\"margin-top:32px;margin-bottom:32px\"><div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/liora.io\/en\/courses\/data-ai\/data-scientist\">Start a Data Science courses<\/a><\/div><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>If you&#8217;ve been doing data science for a while you&#8217;ve probably heard of Kaggle. And you haven&#8217;t, it won&#8217;t be long now. Let&#8217;s take a look at what Kaggle is and why it&#8217;s become an indispensable tool in the world of data science! What is Kaggle? Kaggle is a web platform that hosts the world&#8217;s [&hellip;]<\/p>\n","protected":false},"author":79,"featured_media":207902,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2433],"class_list":["post-166848","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/166848","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/79"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=166848"}],"version-history":[{"count":4,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/166848\/revisions"}],"predecessor-version":[{"id":209650,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/166848\/revisions\/209650"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/207902"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=166848"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=166848"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}