{"id":7985,"date":"2026-08-10T09:50:35","date_gmt":"2026-08-10T09:50:35","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/coursera-machine-learning-with-python-2025-11\/"},"modified":"2026-08-10T09:50:35","modified_gmt":"2026-08-10T09:50:35","slug":"coursera-machine-learning-with-python-2025-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/coursera-machine-learning-with-python-2025-11\/","title":{"rendered":"Coursera \u2013 Machine Learning with Python 2025-11"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>Machine Learning with Python, Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear &amp; non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You\u2019ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms. By the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul>\n<li>Describe the various types of Machine Learning algorithms and when to use them<\/li>\n<li>Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression<\/li>\n<li>Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees<\/li>\n<li>Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics<\/li>\n<\/ul>\n<h3>Specificatoin of Machine Learning with Python<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.coursera.org\/learn\/machine-learning-with-python\" target=\"_blank\">Coursera<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/joseph-santarcangelo\">Joseph Santarcangelo<\/a><\/li>\n<li>Language: English<\/li>\n<li>Level : All Levels<\/li>\n<li>Lectures : 6<\/li>\n<li>Duration : 2 weeks at 10 hours a week<\/li>\n<\/ul>\n<h3>Content of Machine Learning with Python<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1017585\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/11\/Machine-Learning-with-Python.c.jpeg\" alt=\"Machine Learning with Python\" width=\"890\" height=\"737\"><\/p>\n<h3>Requirements<\/h3>\n<ul>\n<li>A working knowledge of Python and Data Analysis and Visualization techniques. A minimum of high school math.<\/li>\n<\/ul>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1017586\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/11\/Machine-Learning-with-Python.d.jpeg\" alt=\"Machine Learning with Python\" width=\"798\" height=\"305\"><\/p>\n<h3>Sample Clip<\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-151137-1\"><video class=\"wp-video-shortcode\" id=\"video-151137-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_with_Python_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_with_Python_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_with_Python_Downloadly.ir.mp4?nocache=1786111067011\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_with_Python_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3>Installation Guide<\/h3>\n<p>Extract the files and watch with your favorite player<\/p>\n<p>Subtitle : English<\/p>\n<p>Quality: 720p<\/p>\n<p>The 2025\/11 version has increased the number of lessons by 2 and reduced the duration by 20 minutes compared to 2025\/1.<\/p>\n<h3>Download Links<\/h3>\n<h4>Downloadly<\/h4>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Coursera_Machine_Learning_with_Python_2025-11_Downloadly.ir.rar?nocache=1786111065\" target=\"_blank\" rel=\"noopener\">Download- 628 MB<\/a><\/p>\n<h4>Rapidgator<\/h4>\n<p><a href=\"https:\/\/rapidgator.net\/file\/3739ee9dc29788f8eb818cd9ea0eef3b\/Coursera_Machine_Learning_with_Python_2025-11_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download- 628 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>628 MB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Machine Learning with Python, Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[71697,71698,71699,71700,71701,71702,71703,71704,68672],"class_list":["post-7985","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-coursera-machine-learning-with-python","dgi_tag-download-machine-learning-with-python","dgi_tag-free-download-machine-learning-with-python","dgi_tag-free-machine-learning-with-python","dgi_tag-machine-learning-with-python","dgi_tag-machine-learning-with-python-download","dgi_tag-machine-learning-with-python-free","dgi_tag-machine-learning-with-python-free-download","dgi_tag-saeed-aghabozorgi"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/7985","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/7985\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=7985"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=7985"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=7985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}