{"id":181822,"date":"2024-03-20T07:29:00","date_gmt":"2024-03-20T06:29:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=181822"},"modified":"2024-03-07T20:42:10","modified_gmt":"2024-03-07T19:42:10","slug":"pycaret-everything-you-need-to-know-about-this-python-library","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/pycaret-everything-you-need-to-know-about-this-python-library","title":{"rendered":"PyCaret: Everything you need to know about this Python library"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"181822\" class=\"elementor elementor-181822\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f38f614 e-flex e-con-boxed e-con\" data-id=\"f38f614\" 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\t\t<div class=\"elementor-element elementor-element-e6a7fb6 elementor-widget elementor-widget-heading\" data-id=\"e6a7fb6\" 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><h2 class=\"elementor-heading-title elementor-size-default\">Inspired by a group of citizen data scientists, Pycaret aims to democratize machine learning for everyone. So what exactly is it? And above all, what are its functionalities? That's what we're going to find out in this article.<\/h2>\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<div class=\"elementor-element elementor-element-279378b e-flex e-con-boxed e-con\" data-id=\"279378b\" 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\t\t<div class=\"elementor-element elementor-element-4aa62ac elementor-widget elementor-widget-heading\" data-id=\"4aa62ac\" 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\">What is PyCaret?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4182e71 elementor-widget elementor-widget-text-editor\" data-id=\"4182e71\" 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<p><strong>Pycaret<\/strong> is an <a href=\"https:\/\/datascientest.com\/en\/open-source-definition-use-cases-and-more\">open source<\/a>, low-code Machine Learning library based on Python. This solution automates the end-to-end machine learning workflow. By automating tasks and managing ML models<strong>, PyCaret<\/strong> speeds up the experimentation cycle. As a result, data scientists are much more productive and able to develop even more powerful <a href=\"https:\/\/datascientest.com\/en\/data-poisoning-a-threat-to-machine-learning-models\">machine learning models.<\/a><\/p><p><strong>PyCaret<\/strong> is more than just a Python-based ML library. And for good reason, it encompasses several machine learning libraries and frameworks. For example: scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, etc.<\/p><p>Best of all, it&#8217;s a ready-to-deploy <a href=\"https:\/\/datascientest.com\/en\/exploring-imageio-a-comprehensive-guide-to-the-python-library\">Python library<\/a>. In other words, every step of an ML experience can be reproduced from one environment to another.<\/p><p><strong>Good to know:<\/strong> PyCaret also integrates with many other solutions, such as Microsoft Power BI, <a href=\"https:\/\/datascientest.com\/en\/what-is-tableau\">Tableau<\/a>, Alteryx and KNIME. So you can add a layer of machine learning to all your business intelligence work. And it&#8217;s easy to do.<\/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-f64855f elementor-widget elementor-widget-image\" data-id=\"f64855f\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/09\/pycaret-datascientest1.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/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-880c3c7 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"880c3c7\" 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\">Learn more about PyCaret<\/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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0de1cef e-flex e-con-boxed e-con\" data-id=\"0de1cef\" 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\t\t<div class=\"elementor-element elementor-element-7b6be8e elementor-widget elementor-widget-heading\" data-id=\"7b6be8e\" 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\">Why use PyCaret?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-674d03f elementor-widget elementor-widget-heading\" data-id=\"674d03f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">A low-code library<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c13b40 elementor-widget elementor-widget-text-editor\" data-id=\"1c13b40\" 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>As the library is based on <strong>low code<\/strong>, PyCaret doesn&#8217;t require hundreds of lines of code, just a few. Even when it comes to performing complex machine learning tasks, <strong>PyCaret<\/strong> remains low code.<\/p><p>This means that data scientists can concentrate more on analyzing datasets. They spend less time coding, and more time generating relevant <strong>predictive analyses<\/strong> and training efficient <a href=\"https:\/\/datascientest.com\/en\/data-poisoning-a-threat-to-machine-learning-models\">machine learning models.<\/a><\/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-d202c35 elementor-widget elementor-widget-heading\" data-id=\"d202c35\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Data processing<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a9f8ba elementor-widget elementor-widget-text-editor\" data-id=\"1a9f8ba\" 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><a href=\"https:\/\/datascientest.com\/en\/automl-and-machine-learning-automation-a-threat-to-data-scientists\">Data scientists<\/a> can choose from multiple data preprocessing functions to save precious time in data processing. Here are just a few examples of the functions available in the Python library:<\/p><ul><li><strong>Data preparation:<\/strong> before exploring data to deploy models, it needs to be processed. <strong>PyCaret<\/strong> can identify missing values, data types and eliminate outliers.<\/li><li><strong>Scalability and transformation:<\/strong> this involves both normalizing data and modifying the shape of the<a href=\"https:\/\/datascientest.com\/en\/understanding-kurtosis-calculating-outlier-frequency-in-statistical-distributions\"> distribution<\/a> if necessary.<\/li><li><strong>Engineering:<\/strong> in particular to create links between data sets.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f98a3e elementor-widget elementor-widget-image\" data-id=\"3f98a3e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/09\/pycaret-datascientest2.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/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-5ed1c8f elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"5ed1c8f\" 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\">Learn to master PyCaret<\/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-dc28757 elementor-widget elementor-widget-heading\" data-id=\"dc28757\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">The modules<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-133e1f2 elementor-widget elementor-widget-text-editor\" data-id=\"133e1f2\" 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>PyCaret<\/strong> works through modules, each encapsulating a specific task:<\/p><ul><li><strong>Supervised Machine Learning models:<\/strong> these include <a href=\"https:\/\/datascientest.com\/en\/classification-algorithms-definition-and-main-models\">classification<\/a> and regression. This allows you to predict class labels and continuous variables.<\/li><li><strong>Unsupervised Machine Learning models:<\/strong> these involve clustering (the grouping of certain populations according to common characteristics) and anomaly detection (data that doesn&#8217;t fit the pattern).<\/li><li><strong>Time series:<\/strong> this involves forecasting time series to inform strategic <a href=\"https:\/\/datascientest.com\/en\/data-storytelling-using-data-to-convey-powerful-messages\">decision-making<\/a>.<\/li><li><strong>Data sets:<\/strong> use this module to access PyCaret&#8217;s extensive range of ML <a href=\"https:\/\/datascientest.com\/en\/datasets-top-5-places-to-find-quality-datasets\">data sets.<\/a><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9c46f6a elementor-widget elementor-widget-heading\" data-id=\"9c46f6a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">The functions<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6dae2fc elementor-widget elementor-widget-text-editor\" data-id=\"6dae2fc\" 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>For all these modules, PyCaret groups together coherent sets of actions capable of automating the data scientist&#8217;s workflow. Here are the main functions available on this <a href=\"https:\/\/datascientest.com\/en\/python-the-most-popular-language\">ML library in Python<\/a>:<\/p><ul><li>analytics data exploration ;<\/li><li>ML model deployment ;<\/li><li>model training ;<\/li><li>iteration.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18aefdd elementor-widget elementor-widget-text-editor\" data-id=\"18aefdd\" 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>By automating <a href=\"https:\/\/datascientest.com\/en\/automl-and-machine-learning-automation-a-threat-to-data-scientists\">Machine Learning <\/a>tasks, these functions reduce the cycle time between hypothesis and understanding in a machine learning experience.<\/p><p>Thanks to its low-code solution, its data preprocessing solution, its modules and its numerous functions,<strong> PyCaret<\/strong> aims to democratize machine learning for everyone. Not just data scientists with solid technical expertise. But also those able to perform simple, moderately sophisticated analyses.<\/p><p>However, <strong>PyCaret<\/strong> is also very useful for <a href=\"https:\/\/datascientest.com\/en\/data-strategist-everything-you-need-to-know-about-this-data-profession\">experienced data scientists<\/a>, enabling them to increase their productivity exponentially.<\/p>\t\t\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<div class=\"elementor-element elementor-element-b32eb29 e-flex e-con-boxed e-con\" data-id=\"b32eb29\" 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\t\t<div class=\"elementor-element elementor-element-9bebd37 elementor-widget elementor-widget-heading\" data-id=\"9bebd37\" 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\">Join DataScientest to develop your Machine Learning skills<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c8bfeee elementor-widget elementor-widget-text-editor\" data-id=\"c8bfeee\" 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>While <strong>PyCaret<\/strong> aims to democratize <strong>Machine Learning<\/strong> for everyone, the development of machine learning models capable of solving complex problems still requires specific technical skills. And it&#8217;s these skills that companies are looking for.<\/p><p>It is therefore essential to train in data science. DataScientest makes it possible.<\/p><p>Through our training courses, you&#8217;ll learn everything you need to know about <a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-bootcamp-why-is-it-interesting\">Machine Learning<\/a>, from data exploration to model deployment, training and iteration. In doing so, you&#8217;ll become operational as soon as the course is over.<\/p><p><em>Ready to start a new career?<\/em> Come and join us.<\/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-8b0c8db elementor-widget elementor-widget-image\" data-id=\"8b0c8db\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/09\/pycaret-datascientest3.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/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-742c786 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"742c786\" 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\">Start your PyCaret training<\/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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cb8519f e-flex e-con-boxed e-con\" data-id=\"cb8519f\" 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\t\t<div class=\"elementor-element elementor-element-a452b17 elementor-widget elementor-widget-html\" data-id=\"a452b17\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is PyCaret?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Pycaret is an open source, low-code Machine Learning library based on Python. 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What is PyCaret? Pycaret is an open source, low-code Machine Learning library based on Python. This solution [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":181824,"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>PyCaret: Everything you need to know about this Python library<\/title>\n<meta name=\"description\" content=\"Dive into PyCaret, the Python library designed for simplifying the machine learning workflow. 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