{"id":170043,"date":"2023-09-04T20:19:50","date_gmt":"2023-09-04T19:19:50","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=170043"},"modified":"2023-10-30T19:49:05","modified_gmt":"2023-10-30T18:49:05","slug":"kaggle-everything-you-need-to-know-about-this-platform","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/kaggle-everything-you-need-to-know-about-this-platform","title":{"rendered":"Kaggle: everything you need to know about this platform"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"170043\" class=\"elementor elementor-170043\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a797b85 e-flex e-con-boxed e-con\" data-id=\"a797b85\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-35846b6b e-con-full e-flex e-con\" data-id=\"35846b6b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-742ae192 elementor-widget elementor-widget-text-editor\" data-id=\"742ae192\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2><strong>If you&#8217;ve been involved in data science for some time, you&#8217;ve likely come across Kaggle. And if you haven&#8217;t, you&#8217;re bound to soon. Let&#8217;s explore what Kaggle is together and why this tool has become an essential part of the world of Data Science!<\/strong><\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-39740b72 elementor-widget elementor-widget-heading\" data-id=\"39740b72\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">What is Kaggle?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4924b678 elementor-widget elementor-widget-text-editor\" data-id=\"4924b678\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Kaggle<\/strong> is a web platform that hosts the world&#8217;s largest community of Data Scientists, with over 536,000 active members in 194 countries and nearly 150,000 submissions per month. It provides powerful tools and resources to support advancements in<a href=\"https:\/\/datascientest.com\/en\/data-science-distance-learning-unlock-your-potential\"> data science.<\/a><\/p><p>Similar to DataScientest, <strong>Kaggle<\/strong> offers a customizable Jupyter Notebooks environment that requires no setup. Users can access GPUs and a vast amount of data and code shared by the community for free. Inside Kaggle, you&#8217;ll find all the code and data you need for your <a href=\"https:\/\/datascientest.com\/en\/data-cleaning-definition-methods-and-relevance-in-data-science\">data science projects,<\/a> including over 50,000 public datasets and 400,000 public notebooks available to everyone.<\/p><p>This platform is trusted by some of the world&#8217;s largest data science companies, such as Walmart and Facebook. Kaggle enables data professionals and other developers to participate in machine learning contests or data challenges, write and share code, and host datasets.<\/p><p>The topics covered on <strong>Kaggle are incredibly diverse,<\/strong> ranging from attempts to predict cancer occurrence by examining patient records to sentiment analysis of movie reviews. The platform offers engaging and challenging projects where contributors can learn and practice, and it provides discussions with industry leaders and experts.<\/p><p>In summary, on Kaggle, a user can:<\/p><p>1. Find and publish datasets.<br \/>2. Explore and build models in a web-based environment.<br \/>3. Collaborate with other professionals and enthusiasts.<br \/>4. Participate in competitions to challenge themselves on innovative topics.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64d72ca2 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"64d72ca2\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Data Scientist Course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ad27f72 elementor-widget elementor-widget-heading\" data-id=\"6ad27f72\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Kaggle competitions<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69bbfcea elementor-widget elementor-widget-text-editor\" data-id=\"69bbfcea\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Competitions are a central pillar of Kaggle, serving as a driving force for motivation and performance benchmarking. While there is a competitive spirit, the Kaggle community remains supportive, and your questions are always welcome. The primary goal is to push the boundaries of data science innovation. Competitions on Kaggle come in four different types:<\/p><p><strong>1. Sponsored Competitions:<\/strong> These are sponsored by companies, associations, and even governments, offering substantial prizes to winners.<\/p><p><strong>2. Research Competitions:<\/strong> These are research-oriented, with smaller victory prizes compared to sponsored competitions.<\/p><p><strong>3. Recruitment Competitions:<\/strong> These are relatively rare and come with a job offer from the sponsoring company as the prize.<\/p><p><strong>4. Beginner Competitions:<\/strong> While these competitions don&#8217;t have cash prizes, they are designed for new users, featuring accessible topics and easily interpretable data. You can join them at any time to gain experience.<\/p><p>Kaggle&#8217;s diverse range of competition types caters to both experienced data scientists looking for challenges and newcomers eager to learn and apply their skills.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a440203 elementor-widget elementor-widget-image\" data-id=\"3a440203\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"195\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/09\/unnamed.png\" class=\"attachment-large size-large wp-image-170046\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/09\/unnamed.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/09\/unnamed-300x114.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Competitions on Kaggle<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ef91a2 elementor-widget elementor-widget-heading\" data-id=\"4ef91a2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Where do I start using Kaggle? <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-714d1710 elementor-widget elementor-widget-text-editor\" data-id=\"714d1710\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Are you now convinced of the value of Kaggle and eager to get started? Here are some tips to help you succeed in joining this community:<\/p><p><strong>1. Progress Gradually:<\/strong> The best way to improve is to take it slow and steady, starting with simple topics and easily interpretable data.<\/p><p><strong>2. Draw Inspiration from Top-Voted Notebooks:<\/strong> Kaggle provides rankings for &#8220;best&#8221; notebooks for each competition. These notebooks are often well-explained and progressive in their approach.<\/p><p><strong>3. Use the Forum Liberally:<\/strong> Similar to DataScientest&#8217;s training, Kaggle offers a forum for seeking help from other users. There are no stupid questions, and &#8220;Kagglers&#8221; are often more than happy to assist fellow enthusiasts.<\/p><p><strong>4. Try Solo Work for Personal Challenges, Then Collaborate: <\/strong>Challenge yourself by working solo, and then collaborate with others to push the boundaries of your knowledge.<\/p><p><strong>5. Follow DataScientest&#8217;s Training:<\/strong> To gain a deep understanding of the concepts and become a professional Data Scientist or Analyst, consider enrolling in DataScientest&#8217;s certification courses.<\/p><p>Practicing data science can be technically challenging, and Kaggle has transformed this field since 2010 by offering an accessible and comprehensive platform. The wide range of difficulty levels ensures content for all skill levels and interests.<\/p><p>If you aim to climb the <strong>Kaggle<\/strong> rankings and gain an in-depth understanding of the concepts to turn this hobby into your profession, join DataScientest&#8217;s certified training programs now!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3168c1b1 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"3168c1b1\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Data Science Course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>If you&#8217;ve been involved in data science for some time, you&#8217;ve likely come across Kaggle. And if you haven&#8217;t, you&#8217;re bound to soon. Let&#8217;s explore what Kaggle is together and why this tool has become an essential part of the world of Data Science! What is Kaggle? Kaggle is a web platform that hosts the [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":170044,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Kaggle: everything you need to know about this platform<\/title>\n<meta name=\"description\" content=\"Kaggle is a popular platform for data science competitions and collaborative machine learning projects. It provides datasets, notebooks,\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/kaggle-everything-you-need-to-know-about-this-platform\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kaggle: everything you need to know about this platform\" \/>\n<meta property=\"og:description\" content=\"If you&#039;ve been involved in data science for some time, you&#039;ve likely come across Kaggle. And if you haven&#039;t, you&#039;re bound to soon. 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