{"id":925,"date":"2020-03-21T12:42:17","date_gmt":"2020-03-21T12:42:17","guid":{"rendered":"https:\/\/dcapps.tech\/freeudemy\/?p=925"},"modified":"2020-03-21T12:42:21","modified_gmt":"2020-03-21T12:42:21","slug":"100-off-machine-learning-101-with-scikit-learn-and-statsmodels","status":"publish","type":"post","link":"https:\/\/dc-apps.net\/freeudemy\/100-off-machine-learning-101-with-scikit-learn-and-statsmodels\/","title":{"rendered":"[100% Off] Machine Learning 101 with Scikit-learn and StatsModels"},"content":{"rendered":"<div id=\"dcapp-362423583\" class=\"dcapp-before-content_2 dcapp-entity-placement\"><a href=\"https:\/\/t.me\/freeudmeyc\" aria-label=\"Join our Telegram Channel\"><img loading=\"lazy\" src=\"https:\/\/dc-apps.net\/freeudemy\/wp-content\/uploads\/2020\/03\/join-our-telegram-channel.png\" alt=\"Join our Telegram Channel\"  srcset=\"https:\/\/dc-apps.net\/freeudemy\/wp-content\/uploads\/2020\/03\/join-our-telegram-channel.png 700w, https:\/\/dc-apps.net\/freeudemy\/wp-content\/uploads\/2020\/03\/join-our-telegram-channel-300x71.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" width=\"700\" height=\"165\"  style=\"display: inline-block;\" \/><\/a><\/div><div id=\"dcapp-2120665022\" class=\"dcapp-before-content dcapp-entity-placement\" style=\"margin-bottom: 5px;\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-7454916351629321\" crossorigin=\"anonymous\"><\/script><ins class=\"adsbygoogle\" style=\"display:block;\" data-ad-client=\"ca-pub-7454916351629321\" \ndata-ad-slot=\"9119542394\" \ndata-ad-format=\"auto\"><\/ins>\n<script> \n(adsbygoogle = window.adsbygoogle || []).push({}); \n<\/script>\n<\/div>\n<p><strong>New to machine learning? This is the place to start: Linear regression, Logistic regression &amp; Cluster Analysis <\/strong><\/p>\n\n\n\n<!--more-->\n\n\n\n<p>\n\n\n\n\nRequirements\n\n\n<\/p>\n\n\n\n<ul><li>Basic coding skills in Python<\/li><\/ul>\n\n\n\n<p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDescription\n\n\n<\/p>\n\n\n\n<p><strong>Are you an aspiring data scientist determined to achieve professional success?<\/strong><\/p>\n\n\n\n<p><strong>Are you ready and willing to master the most valuable skills that will skyrocket your data science career?<\/strong><\/p><div id=\"dcapp-356807545\" class=\"dcapp-content dcapp-entity-placement\" style=\"margin-top: 5px;margin-bottom: 5px;\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-7454916351629321\" crossorigin=\"anonymous\"><\/script><ins class=\"adsbygoogle\" style=\"display:block;\" data-ad-client=\"ca-pub-7454916351629321\" \ndata-ad-slot=\"3439662696\" \ndata-ad-format=\"auto\"><\/ins>\n<script> \n(adsbygoogle = window.adsbygoogle || []).push({}); \n<\/script>\n<\/div>\n\n\n\n<p>Great! You\u2019ve come to the right place.<\/p>\n\n\n\n<p>This course will provide you with the solid Machine Learning knowledge that will help you reach your dream job destination.<\/p>\n\n\n\n<p>That\u2019s right. <strong>Machine Learning is one of the fundamental skills you need to become a data scientist.<\/strong> It is the stepping stone that will help you understand deep learning and modern data analysis techniques.<\/p>\n\n\n\n<p>In this course, we will explore the three most fundamental machine learning topics:<\/p>\n\n\n\n<ul><li> Linear regression<\/li><li> Logistic regression<\/li><li> Cluster analysis<\/li><\/ul>\n\n\n\n<p>Surprised?\n Even neural networks geeks (like us) can\u2019t help, but admit that it\u2019s \nthese 3 simple methods &#8211; linear regression, logistic regression and \nclustering that data science actually revolves around.<\/p>\n\n\n\n<p>So, in this course, we will make an otherwise complex subject matter easy to understand and apply in practice.<\/p>\n\n\n\n<p>Of course, there is only one way to teach these skills in the context of data science &#8211; <strong>to accompany statistics theory with practical application of these quantitative methods in Python.<\/strong><\/p>\n\n\n\n<p>And that\u2019s precisely what we are after. Theory and practice go hand in hand here.<\/p>\n\n\n\n<p>We have developed this course with not one <strong>but two<\/strong>\n machine learning libraries \u2013 StatsModels and sklearn. As our practical \nexperience showed us, they have different use cases and should be used \ntogether rather than independently.<\/p>\n\n\n\n<p>Yet another advantage of \ntaking this course? We are very conscious that data science theory is \noften overlooked.You can\u2019t teach someone to run before they know how to \nwalk. That\u2019s why we will start slowly and continue by building complex \nML models.<\/p>\n\n\n\n<p>But don\u2019t assume you\u2019ll be bored by theory.<\/p>\n\n\n\n<p>On \nthe contrary! We have prepared a course that will get you results and \nwill foster your interest in the subject matter, as it will show you \nthat machine learning is something you can do, too (with the right \nteacher by your side).<\/p>\n\n\n\n<p>Well, we hope you are as excited as we are,\n as this course is the door that can open countless opportunities in the\n data science world for you. This is a course you\u2019ll be actually eager \nto complete.<\/p>\n\n\n\n<p>On top of that we are happy to offer a 30-day money \nback guarantee. No risk for you. The content of the course is so \noutstanding , that this is a no-brainer for us We are 100% certain you \nwill love it.<\/p>\n\n\n\n<p>Why wait any longer? Every day is a missed opportunity.<\/p>\n\n\n\n<p><strong>Click the \u201cBuy Now\u201d button and let\u2019s start (machine) learning together!<\/strong> <\/p>\n\n\n\n<p>Who this course is for: <\/p>\n\n\n\n<ul><li>This course is for you, if you want to become a successful data scientist<\/li><li>This course is great if you want to get acquainted with the fundamental machine learning methods<\/li><li>This course is ideal for you, if you are a just getting started and \nwant to gradually build up valuable skills in machine learning and data \nscience<\/li><\/ul>\n\n\n\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-background\" href=\"https:\/\/www.udemy.com\/course\/machine-learning-101-with-scikit-learn-and-stats-models\/?couponCode=10A5A65CF47EA63B7BDD\" style=\"background-color:#900000;border-radius:29px\" target=\"_blank\" rel=\"noreferrer noopener\">Get the course<\/a><\/div>\n<div id=\"dcapp-3340027577\" class=\"dcapp-after-content dcapp-entity-placement\" style=\"margin-top: 5px;margin-bottom: 5px;\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-7454916351629321\" crossorigin=\"anonymous\"><\/script><ins class=\"adsbygoogle\" style=\"display:block;\" data-ad-client=\"ca-pub-7454916351629321\" \ndata-ad-slot=\"1642816558\" \ndata-ad-format=\"auto\"><\/ins>\n<script> \n(adsbygoogle = window.adsbygoogle || []).push({}); \n<\/script>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>New to machine learning? This is the place to start: Linear regression, Logistic regression &amp; Cluster Analysis<\/p>\n","protected":false},"author":1,"featured_media":926,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[1],"tags":[57,434,37,522,523,64],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/posts\/925"}],"collection":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/comments?post=925"}],"version-history":[{"count":0,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/posts\/925\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/media\/926"}],"wp:attachment":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/media?parent=925"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/categories?post=925"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/tags?post=925"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}