{"id":133201,"date":"2021-12-13T12:36:03","date_gmt":"2021-12-13T11:36:03","guid":{"rendered":"https:\/\/multi.datascientest.com\/en\/?page_id=133201"},"modified":"2023-04-20T14:56:53","modified_gmt":"2023-04-20T13:56:53","slug":"machine-learning","status":"publish","type":"page","link":"https:\/\/datascientest.com\/en\/nos-tracks\/machine-learning","title":{"rendered":"Machine Learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"133201\" class=\"elementor elementor-133201\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-804c3f8 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"804c3f8\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-da90d42\" data-id=\"da90d42\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b9045ce elementor-widget elementor-widget-heading\" data-id=\"b9045ce\" 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><h1 class=\"elementor-heading-title elementor-size-default\">Machine Learning<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-96399e1 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"96399e1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-439cb97\" data-id=\"439cb97\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-815a2f4 elementor-widget elementor-widget-text-editor\" data-id=\"815a2f4\" 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\tDur\u00e9e :<br\/>\n\n75h\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-52dd62b\" data-id=\"52dd62b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1bc3e49 elementor-widget elementor-widget-text-editor\" data-id=\"1bc3e49\" 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\tDifficult\u00e9 :\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d46f462 elementor--star-style-star_fontawesome elementor-widget elementor-widget-star-rating\" data-id=\"d46f462\" data-element_type=\"widget\" data-widget_type=\"star-rating.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>@charset \"UTF-8\";.elementor-star-rating{color:#ccd6df;font-family:eicons;display:inline-block}.elementor-star-rating i{display:inline-block;position:relative;font-style:normal;cursor:default}.elementor-star-rating i:before{content:\"\\e934\";display:block;font-size:inherit;font-family:inherit;position:absolute;overflow:hidden;color:#f0ad4e;top:0;left:0}.elementor-star-rating .elementor-star-empty:before{content:none}.elementor-star-rating .elementor-star-1:before{width:10%}.elementor-star-rating .elementor-star-2:before{width:20%}.elementor-star-rating .elementor-star-3:before{width:30%}.elementor-star-rating .elementor-star-4:before{width:40%}.elementor-star-rating .elementor-star-5:before{width:50%}.elementor-star-rating .elementor-star-6:before{width:60%}.elementor-star-rating .elementor-star-7:before{width:70%}.elementor-star-rating .elementor-star-8:before{width:80%}.elementor-star-rating .elementor-star-9:before{width:90%}.elementor-star-rating__wrapper{display:flex;align-items:center}.elementor-star-rating__title{margin-right:10px}.elementor-star-rating--align-right .elementor-star-rating__wrapper{text-align:right;justify-content:flex-end}.elementor-star-rating--align-left .elementor-star-rating__wrapper{text-align:left;justify-content:flex-start}.elementor-star-rating--align-center .elementor-star-rating__wrapper{text-align:center;justify-content:center}.elementor-star-rating--align-justify .elementor-star-rating__title{margin-right:auto}@media (max-width:1120px){.elementor-star-rating-tablet--align-right .elementor-star-rating__wrapper{text-align:right;justify-content:flex-end}.elementor-star-rating-tablet--align-left .elementor-star-rating__wrapper{text-align:left;justify-content:flex-start}.elementor-star-rating-tablet--align-center .elementor-star-rating__wrapper{text-align:center;justify-content:center}.elementor-star-rating-tablet--align-justify .elementor-star-rating__title{margin-right:auto}}@media (max-width:767px){.elementor-star-rating-mobile--align-right .elementor-star-rating__wrapper{text-align:right;justify-content:flex-end}.elementor-star-rating-mobile--align-left .elementor-star-rating__wrapper{text-align:left;justify-content:flex-start}.elementor-star-rating-mobile--align-center .elementor-star-rating__wrapper{text-align:center;justify-content:center}.elementor-star-rating-mobile--align-justify .elementor-star-rating__title{margin-right:auto}}.last-star{letter-spacing:0}.elementor--star-style-star_unicode .elementor-star-rating{font-family:Arial,Helvetica,sans-serif}.elementor--star-style-star_unicode .elementor-star-rating i:not(.elementor-star-empty):before{content:\"\u2605\"}<\/style>\n\t\t<div class=\"elementor-star-rating__wrapper\">\n\t\t\t\t\t\t<div class=\"elementor-star-rating\" title=\"3.5\/5\" itemtype=\"http:\/\/schema.org\/Rating\" itemscope=\"\" itemprop=\"reviewRating\"><i class=\"elementor-star-full\">&#xE933;<\/i><i class=\"elementor-star-full\">&#xE933;<\/i><i class=\"elementor-star-full\">&#xE933;<\/i><i class=\"elementor-star-5\">&#xE933;<\/i><i class=\"elementor-star-empty\">&#xE933;<\/i> <span itemprop=\"ratingValue\" class=\"elementor-screen-only\">3.5\/5<\/span><\/div>\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<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-4fdca92\" data-id=\"4fdca92\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e08aeae elementor-widget elementor-widget-text-editor\" data-id=\"e08aeae\" 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\tPrix : <br\/>\n\n1295\u20ac\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-090579f\" data-id=\"090579f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d6caa92 elementor-widget elementor-widget-image\" data-id=\"d6caa92\" 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\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2020\/09\/icone_machine_learning.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-77dda7a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"77dda7a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e27a867\" data-id=\"e27a867\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-678e481 elementor-widget elementor-widget-heading\" data-id=\"678e481\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Pr\u00e9requis:<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18f1592 elementor-widget elementor-widget-text-editor\" data-id=\"18f1592\" 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>Ma\u00eetrise Python<\/p><p>Bonne connaissance en Dataviz<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c68dc41 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c68dc41\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0ff4c43\" data-id=\"0ff4c43\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d3141db elementor-widget elementor-widget-heading\" data-id=\"d3141db\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Comp\u00e9tences acquises en fin de cursus :<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9281109 elementor-widget elementor-widget-text-editor\" data-id=\"9281109\" 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>Pr\u00e9traiter les donn\u00e9es pour les adapter aux mod\u00e8les utilis\u00e9s<\/p><p>\u00c9valuer un mod\u00e8le \u00e0 l&#8217;aide de la validation crois\u00e9e et de diff\u00e9rentes m\u00e9triques<\/p><p>Ma\u00eetriser les algorithmes g\u00e9n\u00e9raux de boosting et bagging\u00a0<\/p><p>S\u00e9lectionner et optimiser un algorithme de Machine Learning<\/p><p>Identifier les probl\u00e8mes d&#8217;apprentissage automatique non supervis\u00e9s<\/p><p>Ma\u00eetrisez les principaux algorithmes de clustering \u00e0 l&#8217;aide de la biblioth\u00e8que cl\u00e9 de Machine Learning, scikit-learn<\/p><p>Ma\u00eetriser les mod\u00e8les de r\u00e9gression logistique, p\u00e9nalis\u00e9s et Elastic-Net<\/p><p>Conna\u00eetre les principales m\u00e9triques d&#8217;\u00e9valuation des mod\u00e8les de r\u00e9gression utilis\u00e9s en Machine Learning<\/p><p>R\u00e9duisez de mani\u00e8re optimale la taille d&#8217;un ensemble de donn\u00e9es sans perdre d&#8217;informations<\/p><p>Identifiez visuellement les structures pour d\u00e9terminer l&#8217;algorithme d&#8217;apprentissage automatique appropri\u00e9.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ab509bf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ab509bf\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c222c02\" data-id=\"c222c02\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1f4790e elementor-widget elementor-widget-heading\" data-id=\"1f4790e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Le plan d'\u00e9tudes :<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-cbda809 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cbda809\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-12850b2\" data-id=\"12850b2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6dd2076 elementor-widget elementor-widget-text-editor\" data-id=\"6dd2076\" 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>Machine Learning supervis\u00e9<\/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-cbad688 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"cbad688\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<link rel=\"stylesheet\" href=\"https:\/\/datascientest.com\/en\/files\/elementor\/css\/custom-widget-icon-list.min.css?ver=1721779071\">\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Classification des mod\u00e8les simples et avanc\u00e9s<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c0d9a09\" data-id=\"c0d9a09\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d190cb6 elementor-widget elementor-widget-text-editor\" data-id=\"d190cb6\" 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>Machine Learning non supervis\u00e9<\/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-425cfca elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"425cfca\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">M\u00e9thode de regroupement<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">M\u00e9thode de r\u00e9gression<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">M\u00e9thode de r\u00e9duction dimensionnelle<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3786589 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3786589\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8a29e8e\" data-id=\"8a29e8e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-00998b7 elementor-widget elementor-widget-heading\" data-id=\"00998b7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Les prochaines dates :<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-dffde11 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dffde11\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-6a4d032\" data-id=\"6a4d032\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3ab3a86 elementor-widget elementor-widget-heading\" data-id=\"3ab3a86\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Format Bootcamp<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-a5ccb34 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a5ccb34\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-43d8b85\" data-id=\"43d8b85\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-859ed88 elementor-widget elementor-widget-text-editor\" data-id=\"859ed88\" 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>25 octobre<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-9cdae6f\" data-id=\"9cdae6f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1cd7538 elementor-widget elementor-widget-text-editor\" data-id=\"1cd7538\" 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>28 novembre<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-8a665e5\" data-id=\"8a665e5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4595e8d elementor-widget elementor-widget-text-editor\" data-id=\"4595e8d\" 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>4 janvier<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-7f31eca\" data-id=\"7f31eca\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-54c7d9c\" data-id=\"54c7d9c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-537fbf1 elementor-widget elementor-widget-heading\" data-id=\"537fbf1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Format Continu<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-2d31345 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2d31345\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-5d526a0\" data-id=\"5d526a0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5c38eb2 elementor-widget elementor-widget-text-editor\" data-id=\"5c38eb2\" 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>17 d\u00e9cembre<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b12ad51\" data-id=\"b12ad51\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1dea839 elementor-widget elementor-widget-text-editor\" data-id=\"1dea839\" 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>1 f\u00e9vrier<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0700ac1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0700ac1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d804a3f\" data-id=\"d804a3f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2d65fde elementor-widget elementor-widget-text-editor\" data-id=\"2d65fde\" 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>Vous souhaitez cr\u00e9er un programme sur mesure en fonction de vos besoins ?<\/p><p>Un membre de notre \u00e9quipe peut vous aider!\u00a0<\/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-f94b221 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"f94b221\" 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-md elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/rdv\">\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\">Prendre rendez-vous en ligne<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Machine Learning Dur\u00e9e : 75hDifficult\u00e9 : \ue933\ue933\ue933\ue933\ue933 3.5\/5 Prix : 1295\u20ac Pr\u00e9requis: Ma\u00eetrise Python Bonne connaissance en Dataviz Comp\u00e9tences acquises en fin de cursus : Pr\u00e9traiter les donn\u00e9es pour les adapter aux mod\u00e8les utilis\u00e9s \u00c9valuer un mod\u00e8le \u00e0 l&#8217;aide de la validation crois\u00e9e et de diff\u00e9rentes m\u00e9triques Ma\u00eetriser les algorithmes g\u00e9n\u00e9raux de boosting et bagging&nbsp; [&hellip;]<\/p>\n","protected":false},"author":46,"featured_media":0,"parent":10423,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","inline_featured_image":false},"yoast_head":"<!-- This site is optimized with 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