{"id":11261,"date":"2026-08-10T10:29:50","date_gmt":"2026-08-10T10:29:50","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-mastering-machine-learning-algorithms-2025-4\/"},"modified":"2026-08-10T10:29:50","modified_gmt":"2026-08-10T10:29:50","slug":"udemy-mastering-machine-learning-algorithms-2025-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-mastering-machine-learning-algorithms-2025-4\/","title":{"rendered":"Udemy \u2013 Mastering Machine Learning Algorithms 2025-4"},"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\"><span style=\"vertical-align: inherit\">Mastering Machine Learning Algorithms. This course helps participants master the most important algorithms in the field by learning the fundamental concepts, mathematical understanding, and practical applications of machine learning models. Suitable for beginners and experts, this course begins with a comprehensive introduction to machine learning and then explores widely used supervised and unsupervised algorithms, including linear and logistic regression, decision trees, random forests, KNN, Na\u00efve Bayes, K-Means clustering, dimensionality reduction (t-SNE), and advanced techniques such as Bagging, Boosting, and XGBoost. Each algorithm is taught with real-world examples, evaluation methods, and implementation in Python with libraries such as Scikit-Learn. Participants are also introduced to cross-validation methods for improving models. By the end of the course, they will be able to understand the logic of algorithms, choose the right method for different problems, implement models, and use machine learning in real-world projects. This course is designed for data science students, analysts, developers, and professionals who want to strengthen their machine learning skills.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">A thorough understanding of fundamental machine learning concepts, including the principles of classification and regression.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Learn key terms and mathematical concepts behind machine learning algorithms, such as features, labels, training data, and the role of algorithms.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Explore and master popular machine learning algorithms, including linear regression, KNN, decision trees, support vector machines, and more.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Gain practical skills by implementing machine learning algorithms using industry-standard programming tools and languages such as Python, Scikit-learn, etc.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Work on real datasets to gain practical experience in data preprocessing, model training, and performance metrics evaluation.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">People who are just starting their journey in data science and machine learning and want to understand the basics of decision trees as a predictive modeling technique.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Professionals working with data analysis who want to expand their skills to include machine learning techniques such as decision trees for classification and regression tasks.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Programmers and software developers who are interested in incorporating machine learning into their applications or better understanding how decision trees work.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Students studying data science, computer science, or related fields who want to deepen their knowledge in machine learning algorithms, especially decision trees.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Enthusiasts and lifelong learners who have a general interest in machine learning and want to explore decision trees as part of their broader understanding of the field.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Mastering Machine Learning Algorithms Course Details<\/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\/mastering-machine-learning-algorithms\/?couponCode=LETSLEARNNOW\" 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-medium ud-btn-link ud-heading-sm ud-text-sm ud-instructor-links\" href=\"https:\/\/downloadlynet.ir\/tag\/pralhad-teggi\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Pralhad Teggi<\/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 43 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 99<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-994557 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/07\/Mastering-Machine-Learning-Algorithms-1.png\" alt=\"Mastering Machine Learning Algorithms\" width=\"880\" height=\"710\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Prerequisites for the Mastering Machine Learning Algorithms course<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Programming Proficiency \u2013 Prerequisite: Basic programming skills. Rationale: Participants should have a fundamental understanding of programming concepts, as the course may involve coding exercises and implementations using languages such as Python.<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Mathematics and Statistics Background: Prerequisite: Basic understanding of algebra, calculus, and statistics. Rationale: Supervised machine learning often involves mathematical and statistical concepts.<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Familiarity with concepts like derivatives, linear algebra, probability, and basic statistical measures will aid in understanding algorithms and evaluation metrics.<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Introduction to Data Science: Prerequisite: Basic knowledge of data science concepts. Rationale: Participants should be familiar with key data science concepts, such as data types, exploratory data analysis, and the overall data science workflow. This foundation helps in understanding how machine learning fits into the broader context of data science.<\/span><\/li>\n<\/ul>\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-994558 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/07\/Mastering-Machine-Learning-Algorithms.png\" alt=\"Mastering Machine Learning Algorithms\" width=\"868\" height=\"344\"><\/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-170482-1\"><video class=\"wp-video-shortcode\" id=\"video-170482-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Mastering_Machine_Learning_Algorithms_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Mastering_Machine_Learning_Algorithms_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Mastering_Machine_Learning_Algorithms_Downloadly.ir.mp4?nocache=1786140358419\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Mastering_Machine_Learning_Algorithms_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:\/\/dl.downloadly.ir\/Files\/Elearning\/Udemy_Mastering_Machine_Learning_Algorithms_2025-4.part1_Downloadly.ir.rar?nocache=1786140357\"><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:\/\/dl.downloadly.ir\/Files\/Elearning\/Udemy_Mastering_Machine_Learning_Algorithms_2025-4.part2_Downloadly.ir.rar?nocache=1786140357\"><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:\/\/dl.downloadly.ir\/Files\/Elearning\/Udemy_Mastering_Machine_Learning_Algorithms_2025-4.part3_Downloadly.ir.rar?nocache=1786140357\"><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:\/\/dl.downloadly.ir\/Files\/Elearning\/Udemy_Mastering_Machine_Learning_Algorithms_2025-4.part4_Downloadly.ir.rar?nocache=1786140357\"><span style=\"vertical-align: inherit\">Download Part 4 \u2013 561 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\">3.5 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Mastering Machine Learning Algorithms. This course helps participants master the most important algorithms in the field by learning the fundamental <\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[94134,94135,94136,94137,94138,94139],"class_list":["post-11261","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-mastering-machine-learning-algorithms","dgi_tag-download-course-mastering-machine-learning-algorithms","dgi_tag-download-mastering-machine-learning-algorithms","dgi_tag-free-download-mastering-machine-learning-algorithms","dgi_tag-free-mastering-machine-learning-algorithms","dgi_tag-pralhad-teggi"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/11261","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\/11261\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=11261"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=11261"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=11261"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}