{"id":7797,"date":"2026-08-10T09:48:19","date_gmt":"2026-08-10T09:48:19","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-master-simplified-unsupervised-machine-learning-end-to-end-2024-11\/"},"modified":"2026-08-10T09:48:19","modified_gmt":"2026-08-10T09:48:19","slug":"udemy-master-simplified-unsupervised-machine-learning-end-to-end-2024-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-master-simplified-unsupervised-machine-learning-end-to-end-2024-11\/","title":{"rendered":"Udemy \u2013 Master Simplified Unsupervised Machine Learning End to End \u2122 2024-11"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"5:1-5:780\"><span style=\"vertical-align: inherit\">Master Simplified Unsupervised Machine Learning End to End\u2122 Course. This course is a comprehensive program designed to provide a deep understanding of unsupervised learning techniques, algorithms, and applications in data science and machine learning. This course demystifies unsupervised learning, covering everything from fundamental concepts to advanced clustering, dimensionality reduction, and association rule extraction. Learners gain practical skills in pattern recognition, data segmentation, and uncovering hidden structures in unlabeled data, equipping them with powerful tools for real-world applications across industries. With this course, learners will be fully prepared to apply unsupervised techniques to uncover insights, drive decision-making, and unleash the full potential of data.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"11:1-11:40\"><span style=\"vertical-align: inherit\">What you will learn in this course:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"13:1-40:0\">\n<li data-sourcepos=\"13:1-13:47\"><span style=\"vertical-align: inherit\">Understand the basic principles and techniques of unsupervised learning.<\/span><\/li>\n<li data-sourcepos=\"14:1-14:75\"><span style=\"vertical-align: inherit\">Mastery of deviation detection methods to identify outliers in data sets.<\/span><\/li>\n<li data-sourcepos=\"15:1-15:60\"><span style=\"vertical-align: inherit\">Deep understanding and application of K-Means clustering in unsupervised learning.<\/span><\/li>\n<li data-sourcepos=\"16:1-16:64\"><span style=\"vertical-align: inherit\">Iterate and optimize the K-Means clustering algorithm for better results.<\/span><\/li>\n<li data-sourcepos=\"17:1-17:69\"><span style=\"vertical-align: inherit\">Practical applications of the K-Means clustering algorithm in real-world scenarios.<\/span><\/li>\n<li data-sourcepos=\"18:1-18:71\"><span style=\"vertical-align: inherit\">Mastering hierarchical clustering and understanding its benefits in unsupervised learning.<\/span><\/li>\n<li data-sourcepos=\"19:1-19:73\"><span style=\"vertical-align: inherit\">Visualizing hierarchical clustering using dendrograms for better interpretation.<\/span><\/li>\n<li data-sourcepos=\"20:1-20:64\"><span style=\"vertical-align: inherit\">Application of hierarchical clustering to solve complex clustering problems.<\/span><\/li>\n<li data-sourcepos=\"21:1-21:67\"><span style=\"vertical-align: inherit\">Learning the DBSCAN algorithm and its effectiveness in density-based clustering.<\/span><\/li>\n<li data-sourcepos=\"22:1-22:57\"><span style=\"vertical-align: inherit\">Exploring the benefits of DBSCAN in managing complex clustering patterns.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:51\"><span style=\"vertical-align: inherit\">Introducing Principal Component Analysis (PCA) for dimensionality reduction.<\/span><\/li>\n<li data-sourcepos=\"24:1-24:53\"><span style=\"vertical-align: inherit\">Selecting optimal components in PCA for effective dimensionality reduction.<\/span><\/li>\n<li data-sourcepos=\"25:1-25:76\"><span style=\"vertical-align: inherit\">Application of Principal Component Analysis (PCA) to real-world data for dimensionality reduction.<\/span><\/li>\n<li data-sourcepos=\"26:1-26:59\"><span style=\"vertical-align: inherit\">Understanding Linear Discriminant Analysis (LDA) for Unsupervised Learning Tasks.<\/span><\/li>\n<li data-sourcepos=\"27:1-27:56\"><span style=\"vertical-align: inherit\">Comparison of PCA vs. LDA in terms of dimensionality reduction and classification.<\/span><\/li>\n<li data-sourcepos=\"28:1-28:80\"><span style=\"vertical-align: inherit\">Application of Linear Discriminant Analysis (LDA) for Classification Optimization in Unsupervised Learning.<\/span><\/li>\n<li data-sourcepos=\"29:1-29:70\"><span style=\"vertical-align: inherit\">Master t-SNE for advanced dimensionality reduction and visualization of high-dimensional data.<\/span><\/li>\n<li data-sourcepos=\"30:1-30:60\"><span style=\"vertical-align: inherit\">Understand how t-SNE works and use it effectively for data visualization.<\/span><\/li>\n<li data-sourcepos=\"31:1-31:67\"><span style=\"vertical-align: inherit\">Practical applications of t-SNE in dimensionality reduction and visualization of complex datasets.<\/span><\/li>\n<li data-sourcepos=\"32:1-32:82\"><span style=\"vertical-align: inherit\">Investigating various evaluation criteria for unsupervised learning models for clustering algorithms.<\/span><\/li>\n<li data-sourcepos=\"33:1-33:60\"><span style=\"vertical-align: inherit\">Understanding and applying dimensionality reduction evaluation criteria for model evaluation.<\/span><\/li>\n<li data-sourcepos=\"34:1-34:67\"><span style=\"vertical-align: inherit\">Learning hyperparameter tuning techniques in unsupervised learning models.<\/span><\/li>\n<li data-sourcepos=\"35:1-35:74\"><span style=\"vertical-align: inherit\">Using Bayesian optimization to improve the performance of unsupervised learning models.<\/span><\/li>\n<li data-sourcepos=\"36:1-36:64\"><span style=\"vertical-align: inherit\">Introducing association rule mining for market basket analysis and more.<\/span><\/li>\n<li data-sourcepos=\"37:1-37:69\"><span style=\"vertical-align: inherit\">Understanding confidence and support in extracting association rules for actionable insights.<\/span><\/li>\n<li data-sourcepos=\"38:1-38:79\"><span style=\"vertical-align: inherit\">Learning Apriori algorithm for efficient extraction of association rules and market portfolio analysis.<\/span><\/li>\n<li data-sourcepos=\"39:1-40:0\"><span style=\"vertical-align: inherit\">Step-by-step application of the Apriori algorithm to discover valuable patterns in data.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"41:1-41:31\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"43:1-44:0\">\n<li data-sourcepos=\"43:1-44:0\"><span style=\"vertical-align: inherit\">Anyone who wants to learn the skills of the future and become a data scientist, senior data scientist, AI scientist, AI engineer, AI researcher, and AI specialist.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course Details for Master Simplified Unsupervised Machine Learning End to End\u2122<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/master-simplified-unsupervised-machine-learning-end-to-end-tm\/?couponCode=ST12MT122624\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor:&nbsp; <\/span><a class=\"ud-btn ud-btn-large ud-btn-link ud-heading-md ud-text-sm ud-instructor-links\" href=\"https:\/\/downloadlynet.ir\/tag\/dr-noble-arya\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Dr. Noble Arya<\/span><\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: Beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 9 hours and 49 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 27<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course syllabus in 2024\/12<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-953236 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/12\/Master-Simplified-Unsupervised-Machine-Learning-End-to-End-\u2122-1.png\" alt=\"Master Simplified Unsupervised Machine Learning End to End\u2122\" width=\"880\" height=\"3179\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Prerequisites for the Master Simplified Unsupervised Machine Learning End to End\u2122 course<\/span><\/h3>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" dir=\"ltr\" style=\"text-align: left\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Anyone can learn this class with simplicity<\/span><\/li>\n<\/ul>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-953237 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/12\/Master-Simplified-Unsupervised-Machine-Learning-End-to-End-\u2122.png\" alt=\"Master Simplified Unsupervised Machine Learning End to End\u2122\" width=\"805\" height=\"387\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Sample course video<\/span><\/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-150126-1\"><video class=\"wp-video-shortcode\" id=\"video-150126-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Master_Simplified_Unsupervised_Machine_Learning_End_to_End_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Master_Simplified_Unsupervised_Machine_Learning_End_to_End_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Master_Simplified_Unsupervised_Machine_Learning_End_to_End_Downloadly.ir.mp4?nocache=1786110606217\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Master_Simplified_Unsupervised_Machine_Learning_End_to_End_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<div dir=\"ltr\" style=\"text-align: left\">\n<h3><span style=\"vertical-align: inherit\">Installation Guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitles: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Unsupervised_Machine_Learning_End_to_End_2024-11.part1_Downloadly.ir.rar?nocache=1786110605\"><span style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Unsupervised_Machine_Learning_End_to_End_2024-11.part2_Downloadly.ir.rar?nocache=1786110605\"><span style=\"vertical-align: inherit\">Download Part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Unsupervised_Machine_Learning_End_to_End_2024-11.part3_Downloadly.ir.rar?nocache=1786110605\"><span style=\"vertical-align: inherit\">Download Part 3 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Unsupervised_Machine_Learning_End_to_End_2024-11.part4_Downloadly.ir.rar?nocache=1786110605\"><span style=\"vertical-align: inherit\">Download Part 4 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Unsupervised_Machine_Learning_End_to_End_2024-11.part5_Downloadly.ir.rar?nocache=1786110605\"><span style=\"vertical-align: inherit\">Download Part 5 \u2013 848 MB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">4.8 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Master Simplified Unsupervised Machine Learning End to End\u2122 Course. This course is a comprehensive program designed to provide a deep understanding <\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[70470,70471,70472,66664,70473,70474],"class_list":["post-7797","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-master-simplified-unsupervised-machine-learning-end-to-end","dgi_tag-download-course-master-simplified-unsupervised-machine-learning-end-to-end","dgi_tag-download-master-simplified-unsupervised-machine-learning-end-to-end","dgi_tag-dr-noble-arya","dgi_tag-free-download-master-simplified-unsupervised-machine-learning-end-to-end","dgi_tag-free-master-simplified-unsupervised-machine-learning-end-to-end"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/7797","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\/7797\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=7797"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=7797"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=7797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}