{"id":10058,"date":"2026-08-10T10:14:28","date_gmt":"2026-08-10T10:14:28","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-machine-learning-data-science-the-complete-visual-guide-2025-6\/"},"modified":"2026-08-10T10:14:28","modified_gmt":"2026-08-10T10:14:28","slug":"udemy-machine-learning-data-science-the-complete-visual-guide-2025-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-machine-learning-data-science-the-complete-visual-guide-2025-6\/","title":{"rendered":"Udemy \u2013 Machine Learning &#038; Data Science: The Complete Visual Guide 2025-6"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<p>&nbsp;<\/p>\n<h2>Descriptions<\/h2>\n<p>Machine Learning &amp; Data Science: The Complete Visual Guide, This course is for everyday people looking for an intuitive, beginner-friendly introduction to the world of machine learning and data science. Build confidence with guided, step-by-step demos, and learn foundational skills from the ground up. Instead of memorizing complex math or learning a new coding language, we\u2019ll break down and explore machine learning techniques to help you understand exactly how and why they work. Follow along with simple, visual examples and interact with user-friendly, Excel-based models to learn topics like linear and logistic regression, decision trees, KNN, na\u00efve bayes, hierarchical clustering, sentiment analysis, and more \u2013&nbsp;without writing a SINGLE&nbsp;LINE of code. In Part 1 we\u2019ll introduce the machine learning workflow and common techniques for cleaning and preparing raw data for analysis. We\u2019ll explore univariate analysis with frequency tables, histograms, kernel densities, and profiling metrics, then dive into multivariate profiling tools like heat maps, violin &amp; box plots, scatter plots Throughout the course, we\u2019ll introduce real-world scenarios to solidify key concepts and simulate actual data science and business intelligence cases. You\u2019ll use profiling metrics to clean up product inventory data for a local grocery, explore Olympic athlete demographics with histograms and kernel densities, visualize traffic accident frequency with heat maps, and more.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul>\n<li>Build foundational machine learning &amp; data science skills WITHOUT writing complex code<\/li>\n<li>Play with interactive, user-friendly Excel models to learn how machine learning techniques actually work<\/li>\n<li>Enrich datasets using feature engineering techniques like one-hot encoding, scaling and discretization<\/li>\n<li>Predict categorical outcomes using classification models like K-nearest neighbors, na\u00efve bayes, and decision trees<\/li>\n<li>Build accurate forecasts and projections using linear and non-linear regression models<\/li>\n<li>Apply powerful techniques for clustering, association mining, outlier detection, and dimensionality reduction<\/li>\n<li>Learn how to select and tune models to optimize performance, reduce bias, and minimize drift<\/li>\n<li>Explore unique, hands-on case studies to simulate how machine learning can be applied to real-world cases<\/li>\n<\/ul>\n<h3>Who this course is for<\/h3>\n<ul>\n<li>Anyone looking to learn the foundations of machine learning through interactive, beginner-friendly demos<\/li>\n<li>Data Analysts or BI experts looking to transition into data science or build a fundamental understanding of machine learning<\/li>\n<li>R or Python users seeking a deeper understanding of the models and algorithms behind their code<\/li>\n<li>Excel users who want to learn and apply powerful tools for predictive analytics<\/li>\n<\/ul>\n<h3>Specificatoin of Machine Learning &amp; Data Science: The Complete Visual Guide<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/visual-guide-to-machine-learning\/?couponCode=ST7MT290425G3\" target=\"_blank\" rel=\"noopener\">Udemy<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/maven-analytics-\u2022-1,500,000-learners\">Maven Analytics \u2022 1,500,000 Learners<\/a> , <a href=\"https:\/\/downloadlynet.ir\/tag\/chris-dutton\">Chris Dutton<\/a> , <a href=\"https:\/\/downloadlynet.ir\/tag\/joshua-maccarty\">Joshua MacCarty<\/a><\/li>\n<li>Language: English<\/li>\n<li>Level : All Levels<\/li>\n<li>Lectures : 182<\/li>\n<li>Duration : 8 hours and 51 minutes<\/li>\n<\/ul>\n<h3>Content of Machine Learning &amp; Data Science: The Complete Visual Guide<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-991795\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/07\/Machine-Learning-Data-Science_-The-Complete-Visual-Guide.c.jpeg\" alt=\"Machine Learning &amp; Data Science_ The Complete Visual Guide\" width=\"705\" height=\"1257\"><\/p>\n<h3>Requirements<\/h3>\n<ul dir=\"ltr\">\n<li>This is a beginner-friendly course (no prior knowledge or math\/stats background required)<\/li>\n<li>We\u2019ll use Microsoft Excel (Office 365) for some course demos, but participation is optional<\/li>\n<\/ul>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-991796\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/07\/Machine-Learning-Data-Science_-The-Complete-Visual-Guide.d.jpeg\" alt=\"Machine Learning &amp; Data Science_ The Complete Visual Guide\" width=\"705\" height=\"279\"><\/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-163325-1\"><video class=\"wp-video-shortcode\" id=\"video-163325-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_Data_Science__The_Complete_Visual_Guide_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_Data_Science__The_Complete_Visual_Guide_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_Data_Science__The_Complete_Visual_Guide_Downloadly.ir.mp4?nocache=1786137016902\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_Data_Science__The_Complete_Visual_Guide_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: 720<\/p>\n<p>The 2025\/6 version has not changed in terms of the number of lessons and time compared to 2024\/11, but it has been updated after 1 year.<\/p>\n<h3>Download Links<\/h3>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Machine_Learning_Data_Science_The_Complete_Visual_Guide_2025-6_Downloadly.ir.part1.rar?nocache=1786137016\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Machine_Learning_Data_Science_The_Complete_Visual_Guide_2025-6_Downloadly.ir.part2.rar?nocache=1786137016\">Download Part 2 \u2013 617 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>1.6 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; 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