{"id":733,"date":"2020-03-10T10:05:29","date_gmt":"2020-03-10T10:05:29","guid":{"rendered":"https:\/\/dcapps.tech\/freeudemy\/?p=733"},"modified":"2020-03-10T10:05:33","modified_gmt":"2020-03-10T10:05:33","slug":"100-off-python-for-machine-learning-and-data-science-bootcamp","status":"publish","type":"post","link":"https:\/\/dc-apps.net\/freeudemy\/100-off-python-for-machine-learning-and-data-science-bootcamp\/","title":{"rendered":"[100% Off] Python for Machine Learning and Data Science Bootcamp"},"content":{"rendered":"<div id=\"dcapp-2850724733\" 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-900254508\" 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>Learn to create Machine Learning Algorithms, how to use NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, and more! <\/strong><\/p>\n\n\n\n<!--more-->\n\n\n\n<h3>Requirements<\/h3>\n\n\n\n<ul><li>Have a computer (either Mac, Windows, or Linux)<\/li><li>No prior knowledge of Python is required.<\/li><li>No previous programming experience is needed.<\/li><\/ul>\n\n\n\n<p>\n\n\n\n\nDescription<\/p>\n\n\n\n<p>Interested in the field of Machine Learning ? Then this course is for you !<\/p>\n\n\n\n<p>This\n course has been designed by two professional Data Scientists so that we\n can share our knowledge and help you learn complex theory, algorithms \nand coding libraries in a simple way.<\/p>\n\n\n\n<p>We will walk you \nstep-by-step into the World of Machine Learning. With every tutorial you\n will develop new skills and improve your understanding of this \nchallenging yet lucrative sub-field of Data Science.<\/p><div id=\"dcapp-2826638032\" 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>This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:<\/p>\n\n\n\n<p><strong>01 &#8211; Python basic<\/strong><\/p>\n\n\n\n<p><strong>02 &#8211; Object-Oriented Programming <\/strong><\/p>\n\n\n\n<p><strong>03 &#8211; Numpy<\/strong><\/p>\n\n\n\n<p><strong>04 &#8211; Matplotlib<\/strong><\/p>\n\n\n\n<p><strong>05 &#8211; Panda<\/strong><\/p>\n\n\n\n<p><strong>06 &#8211; Data Visualization&nbsp; &#8211; Plotly and Cufflinks<\/strong><\/p>\n\n\n\n<p><strong>07 &#8211; Data Visualization in Pandas<\/strong><\/p>\n\n\n\n<p><strong>08 &#8211; Seaborn<\/strong><\/p>\n\n\n\n<p><strong>09 &#8211; In troduction to Machine Learning&nbsp; <\/strong><\/p>\n\n\n\n<p><strong>10 &#8211; Linear Regression <\/strong><\/p>\n\n\n\n<p><strong>11 &#8211; Logistic Regression Titanic Dataset<\/strong><\/p>\n\n\n\n<p><strong>12 &#8211; KNN algorithm<\/strong><\/p>\n\n\n\n<p><strong>13 &#8211; SVM<\/strong><\/p>\n\n\n\n<p><strong>14 &#8211; Decision Tree Classifier and Regressor<\/strong><\/p>\n\n\n\n<p><strong>15 &#8211; Random Forest Classifier and Regressor<\/strong><\/p>\n\n\n\n<p><strong>16 &#8211; K-Mean Clustering<\/strong><\/p>\n\n\n\n<p><strong>17 &#8211; Principal Component Analysis (PCA) <\/strong><\/p>\n\n\n\n<p><strong>18 &#8211; Ensemble Learning<\/strong><\/p>\n\n\n\n<p><strong>19 &#8211; Learning Curve<\/strong><\/p>\n\n\n\n<p><strong>20 &#8211; Python Interview Questions<\/strong><\/p>\n\n\n\n<p>Moreover,\n the course is packed with practical exercises which are based on \nreal-life examples. So not only will you learn the theory, but you will \nalso get some hands-on practice building your own models.<\/p>\n\n\n\n<p>And as a bonus, this course includes \u00a0Python\u00a0 code templates which you can download and use on your own projects.<\/p>\n\n\n\n<p>Who this course is for:<\/p>\n\n\n\n<ul><li>Anyone who wants to master Python 3<\/li><li>Anyone looking to level up their skills and master a new programming language<\/li><li>Anyone who wants to get into: Machine Learning, Data Science and other hot job markets<\/li><li>hose who know Python basics and want to master Python<\/li><li>Any people who want to create added value to their business by using powerful Machine Learning tools.<\/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\/python-for-machine-learning-bootcamp\/?couponCode=A94369BD43507AAC3B4A\" style=\"background-color:#900000;border-radius:29px\" target=\"_blank\" rel=\"noreferrer noopener\">Get the course<\/a><\/div>\n<div id=\"dcapp-1302425559\" 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>Learn to create Machine Learning Algorithms, how to use NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, and more!<\/p>\n","protected":false},"author":1,"featured_media":734,"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":[304,57,434,37,200,305],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/posts\/733"}],"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=733"}],"version-history":[{"count":0,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/posts\/733\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/media\/734"}],"wp:attachment":[{"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/media?parent=733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/categories?post=733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dc-apps.net\/freeudemy\/wp-json\/wp\/v2\/tags?post=733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}