{"id":7242,"date":"2026-08-10T09:42:04","date_gmt":"2026-08-10T09:42:04","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-master-simplified-supervised-machine-learning-2024-10\/"},"modified":"2026-08-10T09:42:04","modified_gmt":"2026-08-10T09:42:04","slug":"udemy-master-simplified-supervised-machine-learning-2024-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-master-simplified-supervised-machine-learning-2024-10\/","title":{"rendered":"Udemy \u2013 Master Simplified Supervised Machine Learning\u2122 2024-10"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span style=\"vertical-align: inherit\">The Master Simplified Supervised Machine Learning\u2122 course is a comprehensive training in the field of supervised machine learning. In this course, you will learn the fundamentals and advanced techniques of machine learning. Through this course, you will be able to build, train, and evaluate predictive models to solve real-world problems.<\/span><\/p>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<h3 data-sourcepos=\"5:1-5:24\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul data-sourcepos=\"7:1-37:0\">\n<li data-sourcepos=\"7:1-7:76\"><span style=\"vertical-align: inherit\">Introduction to Machine Learning: Understanding the basics and main concepts of Machine Learning.<\/span><\/li>\n<li data-sourcepos=\"8:1-8:73\"><span style=\"vertical-align: inherit\">Reinforcement learning: learning how agents make decisions by interacting with the environment.<\/span><\/li>\n<li data-sourcepos=\"9:1-9:114\"><span style=\"vertical-align: inherit\">An Introduction to Supervised Learning: Exploring How to Train Models Using Labeled Data for Prediction.<\/span><\/li>\n<li data-sourcepos=\"10:1-10:99\"><span style=\"vertical-align: inherit\">Training and evaluation of machine learning models: learning techniques for training models and evaluating their performance.<\/span><\/li>\n<li data-sourcepos=\"11:1-11:80\"><span style=\"vertical-align: inherit\">Linear Regression: Mastering how to predict continuous outcomes using linear regression.<\/span><\/li>\n<li data-sourcepos=\"12:1-12:81\"><span style=\"vertical-align: inherit\">Assessing Model Fit: Learn how to assess accuracy and model fit for regression tasks.<\/span><\/li>\n<li data-sourcepos=\"13:1-13:86\"><span style=\"vertical-align: inherit\">Application of supervised learning: application of supervised learning techniques to solve practical problems.<\/span><\/li>\n<li data-sourcepos=\"14:1-14:105\"><span style=\"vertical-align: inherit\">An introduction to multiple linear regression: understanding how multiple predictors affect outcomes in regression models.<\/span><\/li>\n<li data-sourcepos=\"15:1-15:108\"><span style=\"vertical-align: inherit\">Evaluating Multiple Linear Regression Model Performance: Learning how to evaluate and optimize multiple linear regression models.<\/span><\/li>\n<li data-sourcepos=\"16:1-16:92\"><span style=\"vertical-align: inherit\">Application of Multiple Linear Regression: Application of multiple linear regression to real world data sets.<\/span><\/li>\n<li data-sourcepos=\"17:1-17:86\"><span style=\"vertical-align: inherit\">Logistic Regression: Learning how to perform classification tasks using logistic regression.<\/span><\/li>\n<li data-sourcepos=\"18:1-18:99\"><span style=\"vertical-align: inherit\">Feature Engineering for Logistic Regression: Mastering techniques to improve logistic regression with feature engineering.<\/span><\/li>\n<li data-sourcepos=\"19:1-19:75\"><span style=\"vertical-align: inherit\">Application of logistic regression: application of logistic regression in practical classification problems.<\/span><\/li>\n<li data-sourcepos=\"20:1-20:102\"><span style=\"vertical-align: inherit\">Decision Trees: Learn how to use decision trees to partition data for predictive decision making.<\/span><\/li>\n<li data-sourcepos=\"21:1-21:90\"><span style=\"vertical-align: inherit\">Performance evaluation of decision trees: Discover how to evaluate the accuracy and reliability of decision trees.<\/span><\/li>\n<li data-sourcepos=\"22:1-22:91\"><span style=\"vertical-align: inherit\">Application of Decision Trees: Application of Decision Tree Algorithms to Real World Data Sets.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:96\"><span style=\"vertical-align: inherit\">Random forests: Understanding how random forests combine multiple decision trees for robust prediction.<\/span><\/li>\n<li data-sourcepos=\"24:1-24:110\"><span style=\"vertical-align: inherit\">Mastering Hyperparameter Tuning: Learn advanced techniques to optimize model performance through hyperparameter tuning.<\/span><\/li>\n<li data-sourcepos=\"25:1-25:103\"><span style=\"vertical-align: inherit\">Decision Trees and Random Forests: Investigating How Random Forests Increase the Performance of Decision Trees.<\/span><\/li>\n<li data-sourcepos=\"26:1-26:109\"><span style=\"vertical-align: inherit\">Support Vector Machines (SVM): Learning how to use SVM for classification by maximizing edge separation.<\/span><\/li>\n<li data-sourcepos=\"27:1-27:123\"><span style=\"vertical-align: inherit\">Kernel Functions in Support Vector Machines (SVM): Understanding How to Improve SVM Classification of Nonlinear Data Using Kernel Functions.<\/span><\/li>\n<li data-sourcepos=\"28:1-28:106\"><span style=\"vertical-align: inherit\">Application of Support Vector Machines (SVM): Application of SVM algorithms to classify complex datasets.<\/span><\/li>\n<li data-sourcepos=\"29:1-29:108\"><span style=\"vertical-align: inherit\">K-Nearest Neighbor (KNN) Algorithm: Learning how KNN uses neighbors to classify data points.<\/span><\/li>\n<li data-sourcepos=\"30:1-30:92\"><span style=\"vertical-align: inherit\">Preprocessing for KNN Algorithm: Master data preprocessing techniques to improve KNN performance.<\/span><\/li>\n<li data-sourcepos=\"31:1-31:71\"><span style=\"vertical-align: inherit\">Application of KNN algorithm: Application of KNN algorithm to solve classification problems.<\/span><\/li>\n<li data-sourcepos=\"32:1-32:102\"><span style=\"vertical-align: inherit\">Gradient boosting algorithm: learning how to improve prediction accuracy through gradient boosting iterative training.<\/span><\/li>\n<li data-sourcepos=\"33:1-33:105\"><span style=\"vertical-align: inherit\">Mastering hyperparameter tuning in machine learning: learning to fine-tune model hyperparameters for maximum performance.<\/span><\/li>\n<li data-sourcepos=\"34:1-34:94\"><span style=\"vertical-align: inherit\">Application of gradient boosting: Application of gradient boosting to increase model accuracy in real-world scenarios.<\/span><\/li>\n<li data-sourcepos=\"35:1-35:103\"><span style=\"vertical-align: inherit\">Model evaluation criteria: Understanding key criteria such as accuracy and F1-score for evaluating machine learning models.<\/span><\/li>\n<li data-sourcepos=\"36:1-37:0\"><span style=\"vertical-align: inherit\">ROC and AUC curves explained: learning to interpret ROC and AUC curves to evaluate classification models.<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"38:1-38:31\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul>\n<li data-sourcepos=\"40:1-40:151\"><span style=\"vertical-align: inherit\">Anyone who wants to learn future skills and become a Data Scientist, AI Scientist, AI Engineer, AI Researcher and AI Specialist.<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Master Simplified Supervised Machine Learning\u2122 course specifications<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/master-simplified-supervised-machine-learningtm\/?couponCode=BFCPSALE24\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer:&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: 14 hours and 22 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of courses: 30<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-946427 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/11\/Master-Simplified-Supervised-Machine-Learning\u2122-2.png\" alt=\"Master Simplified Supervised Machine Learning\u2122\" width=\"787\" height=\"1842\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Master Simplified Supervised Machine Learning\u2122 course prerequisites<\/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\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\">Anyone can learn this class it is very simple.<\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-946426 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/11\/Master-Simplified-Supervised-Machine-Learning\u2122.png\" alt=\"Master Simplified Supervised Machine Learning\u2122\" width=\"783\" height=\"336\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Sample video of the course<\/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-147234-1\"><video class=\"wp-video-shortcode\" id=\"video-147234-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Master_Simplified_Supervised_Machine_Learning_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Master_Simplified_Supervised_Machine_Learning_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Master_Simplified_Supervised_Machine_Learning_Downloadly.ir.mp4?nocache=1786109247041\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Master_Simplified_Supervised_Machine_Learning_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>\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\">Subtitle: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Supervised_Machine_Learning_2024-10.part1_Downloadly.ir.rar?nocache=1786109245\"><span style=\"vertical-align: inherit\">Download part 1 \u2013 2 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Supervised_Machine_Learning_2024-10.part2_Downloadly.ir.rar?nocache=1786109245\"><span style=\"vertical-align: inherit\">Download part 2 \u2013 2 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Supervised_Machine_Learning_2024-10.part3_Downloadly.ir.rar?nocache=1786109245\"><span style=\"vertical-align: inherit\">Download part 3 \u2013 2 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Udemy_Master_Simplified_Supervised_Machine_Learning_2024-10.part4_Downloadly.ir.rar?nocache=1786109245\"><span style=\"vertical-align: inherit\">Download part 4 \u2013 836 MB<\/span><\/a><\/p>\n<p><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">6.8 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description The Master Simplified Supervised Machine Learning\u2122 course is a comprehensive training in the field of supervised machine learning. In this course, y<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[66661,66662,66663,66664,66665,66666],"class_list":["post-7242","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-master-simplified-supervised-machine-learning","dgi_tag-download-course-master-simplified-supervised-machine-learning","dgi_tag-download-master-simplified-supervised-machine-learning","dgi_tag-dr-noble-arya","dgi_tag-free-download-master-simplified-supervised-machine-learning","dgi_tag-free-master-simplified-supervised-machine-learning"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/7242","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\/7242\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=7242"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=7242"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=7242"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}