{"id":9612,"date":"2026-08-10T10:09:22","date_gmt":"2026-08-10T10:09:22","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-machine-learning-with-python-basics-to-advanced-analytics-2024-12\/"},"modified":"2026-08-10T10:09:22","modified_gmt":"2026-08-10T10:09:22","slug":"udemy-machine-learning-with-python-basics-to-advanced-analytics-2024-12","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-machine-learning-with-python-basics-to-advanced-analytics-2024-12\/","title":{"rendered":"Udemy \u2013 Machine Learning with Python: Basics to Advanced Analytics 2024-12"},"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=\"1:1-1:94\"><span style=\"vertical-align: inherit\">Machine Learning with Python: Basics to Advanced Analytics. This course is a comprehensive training program that teaches the fundamental concepts of machine learning and statistics using Python. This course is designed for those who want to gain expertise in data analysis and data-driven decision-making. Throughout the course, participants will be introduced to machine learning principles, Python tools, statistical techniques, and their practical applications. Topics include statistical sampling, data types, probability theory, statistical distributions, matrix algebra, hypothesis testing, and regression analysis. The course is organized into 11 sections and is designed to provide a valuable learning experience for both beginners and experts. Upon completion of this course, learners will be able to implement machine learning projects, analyze complex data, and use statistical methods in real-world situations.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"9:1-9:25\"><span style=\"vertical-align: inherit\">What you will learn:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"11:1-21:0\">\n<li data-sourcepos=\"11:1-11:130\"><span style=\"vertical-align: inherit\">Python Proficiency: Master the use of Python to implement Machine Learning algorithms, building a strong programming foundation.<\/span><\/li>\n<li data-sourcepos=\"12:1-12:126\"><span style=\"vertical-align: inherit\">Analytics Insight: Develop the ability to use Analytics in Machine Learning, gaining valuable insights for informed decision-making.<\/span><\/li>\n<li data-sourcepos=\"13:1-13:96\"><span style=\"vertical-align: inherit\">Big Data Integration: Understand the challenges and opportunities of integrating Big Data with Machine Learning processes.<\/span><\/li>\n<li data-sourcepos=\"14:1-14:145\"><span style=\"vertical-align: inherit\">Statistical Fundamentals: Learn the basics of Statistical Sampling, Data Types, Visualization, and Probability Theory, which are vital for Data Science.<\/span><\/li>\n<li data-sourcepos=\"15:1-15:145\"><span style=\"vertical-align: inherit\">Random Variables and Distributions: Understand the concepts of Random Variables and various Probability Distributions which are essential in Machine Learning applications.<\/span><\/li>\n<li data-sourcepos=\"16:1-16:113\"><span style=\"vertical-align: inherit\">Matrix Algebra Skills: Gain skills in Matrix Algebra and understand its importance in data manipulation for Machine Learning.<\/span><\/li>\n<li data-sourcepos=\"17:1-17:130\"><span style=\"vertical-align: inherit\">Hypothesis Testing Mastery: Develop skills in Hypothesis Testing, including error types, Critical Value approaches, and P-value analysis.<\/span><\/li>\n<li data-sourcepos=\"18:1-18:133\"><span style=\"vertical-align: inherit\">Regression Analysis: Gain insight into Covariance and Regression Analysis, fundamental techniques for predictive modeling in Data Science.<\/span><\/li>\n<li data-sourcepos=\"19:1-19:124\"><span style=\"vertical-align: inherit\">Practical Application: Apply learned concepts through quizzes, practical examples, and real-world scenarios for hands-on experience.<\/span><\/li>\n<li data-sourcepos=\"20:1-21:0\"><span style=\"vertical-align: inherit\">Emerging Trends Awareness: Staying up to date on emerging trends and innovations in Machine Learning, ensuring relevance in a rapidly evolving field.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"27:1-27:31\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"29:1-36:0\">\n<li data-sourcepos=\"29:1-29:150\"><span style=\"vertical-align: inherit\">Data Science Enthusiasts: People with a strong interest in Data Science, Machine Learning, and Statistics who want to build a strong foundation for further exploration and specialization.<\/span><\/li>\n<li data-sourcepos=\"30:1-30:159\"><span style=\"vertical-align: inherit\">Aspiring Data Scientists: Students and professionals who aspire to enter the field of Data Science and are looking for a comprehensive introduction to fundamental concepts and practical skills.<\/span><\/li>\n<li data-sourcepos=\"31:1-31:167\"><span style=\"vertical-align: inherit\">Professionals in related fields: Professionals in fields such as business, finance, healthcare, and engineering who are looking to integrate Data Science techniques into their work to improve decision-making.<\/span><\/li>\n<li data-sourcepos=\"32:1-32:179\"><span style=\"vertical-align: inherit\">Programmers and Developers: People with a programming background who want to expand their skill set to include Machine Learning and statistical analysis using Python.<\/span><\/li>\n<li data-sourcepos=\"33:1-33:186\"><span style=\"vertical-align: inherit\">Managers and Decision Makers: Managers and decision makers who want to have a basic understanding of Data Science concepts to better interpret and use insights gained from data in their roles.<\/span><\/li>\n<li data-sourcepos=\"34:1-34:142\"><span style=\"vertical-align: inherit\">Academic learners: Students and researchers at educational institutions looking to complement their theoretical knowledge with practical skills in Machine Learning and Statistics.<\/span><\/li>\n<li data-sourcepos=\"35:1-36:0\"><span style=\"vertical-align: inherit\">Self-learners: People who take an active approach to self-learning and are looking for a structured and comprehensive course to deepen their understanding of Data Science.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Machine Learning with Python: Basics to Advanced Analytics 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\/mathematics-statistics-foundations-machine-learning-ai\/?couponCode=ST13MT80425G3\" 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\/educba-bridging-the-gap\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">EDUCBA Bridging the Gap<\/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: 7 hours and 59 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 55<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-976132 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/04\/Machine-Learning-with-Python-Basics-to-Advanced-Analytics-1.png\" alt=\"Machine Learning with Python: Basics to Advanced Analytics\" width=\"879\" height=\"780\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Prerequisites for the Machine Learning with Python: Basics to Advanced Analytics course<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Some basic concepts of linear algebra and calculus<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Familiarity with secondary school-level mathematics will make the class easier to follow along with.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-976133 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/04\/Machine-Learning-with-Python-Basics-to-Advanced-Analytics.png\" alt=\"Machine Learning with Python: Basics to Advanced Analytics\" width=\"888\" height=\"398\"><\/p>\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-160975-1\"><video class=\"wp-video-shortcode\" id=\"video-160975-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_with_Python_Basics_to_Advanced_Analytics_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_Basics_to_Advanced_Analytics_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_with_Python_Basics_to_Advanced_Analytics_Downloadly.ir.mp4?nocache=1786115976646\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_with_Python_Basics_to_Advanced_Analytics_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:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Machine_Learning_with_Python_Basics_to_Advanced_Analytics_2024-12.part1_Downloadly.ir.rar?nocache=1786115975\"><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:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Machine_Learning_with_Python_Basics_to_Advanced_Analytics_2024-12.part2_Downloadly.ir.rar?nocache=1786115975\"><span style=\"vertical-align: inherit\">Download Part 2 \u2013 355 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\">1.3 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Machine Learning with Python: Basics to Advanced Analytics. This course is a comprehensive training program that teaches the fundamental concepts of<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[82700,82701,82702,20461,82703,82704],"class_list":["post-9612","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-machine-learning-with-python-basics-to-advanced-analytics","dgi_tag-download-course-machine-learning-with-python-basics-to-advanced-analytics","dgi_tag-download-machine-learning-with-python-basics-to-advanced-analytics","dgi_tag-educba-bridging-the-gap","dgi_tag-free-download-machine-learning-with-python-basics-to-advanced-analytics","dgi_tag-free-machine-learning-with-python-basics-to-advanced-analytics"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/9612","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\/9612\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=9612"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=9612"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=9612"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}