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Learn concepts such as Machine Learning in MS EXCEL, Machine learning using PYTHON, Deep learning, Data Science with R, Face Detection in Python, Bayesian Machine Learning, Projects on Machine learning and much more right from the basics to advanced concepts.<\/p><\/p><\/div>\r\n\r\n                            <div class=\"course-details-info mt-4\">\r\n                            <div id=\"badge-star\">\r\n\t\t\t\t\t\t\t<div class=\"badge-seller uk-display-inline-block mr-4\">\r\n\t\t\t\t\t\t\t<div>\r\n\t\t\t\t\t\t\t<span class=\"best_seller\">\r\n\t\t\t\t\t\t\tBESTSELLER\t\t\t\t\t\t\t<\/span>\r\n\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<i class=\"fa fa-star\" aria-hidden=\"true\" ><\/i><i class=\"fa fa-star\" aria-hidden=\"true\" ><\/i><i class=\"fa fa-star\" aria-hidden=\"true\" ><\/i><i class=\"fa fa-star\" aria-hidden=\"true\"><\/i><i class=\"fa fa-star-half-o\" aria-hidden=\"true\"><\/i>\r\n\t\t\t\t\t\t\t4.7 (21,252 ratings)\r\n\r\n\t\t\t\t\t\t\t<\/div>\r\n                            <\/div>\r\n\r\n                            \r\n                        <\/div>\r\n                        \r\n\r\n                    <\/div>\r\n                <\/div>\r\n\r\n            <\/div>\r\n        <\/div>\r\n\t\t\r\n\t\t<div class=\"container\">\r\n\t\t\r\n\t\t<div id=\"top_v_mob_2\">\r\n\r\n\t\t<p class=\"my-3 text-center\">\r\n\t\t<span class=\"uk-h1 main-price\"><\/span>\r\n\t\t<s class=\"uk-h4 text-muted strike-class\"><\/s>\r\n\t\t<s class=\"uk-h6 ml-1 text-muted discount\"><\/s>\r\n\t\t<\/p>\r\n\t\t\r\n\t\t\r\n\t\t<p id=\"limited-seats\" class=\"text-center my-3\"><\/p>\r\n\r\n\t\t<div class=\"uk-child-width-1-1 uk-grid-small mb-3\" uk-grid>\r\n\t\t<div class=\"text-center pl-4\">\r\n\t\t<button id=\"addtocrt2\" name=\"addtocrt2\" class=\"addtocrt uk-width-1-1\" value=\"take-this-bundle\" style=\"background-image:linear-gradient(to 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0.2)\"),jQuery(\".side-button\").removeClass(\"scrolled-tabs\")),jQuery.each(contentTop,function(i,s){if(s>e-edgeMargin&&(s<e+topRange||e+t>=r)){jQuery(\"#sticky li\").removeClass(\"active-nav\").eq(i).addClass(\"active-nav\");var o=jQuery(\"li.active-nav\").offset().left+jQuery(\"li.active-nav\").outerWidth(!0)\/2+jQuery(\"#sidebar\").scrollLeft()-jQuery(\"#sidebar\").width()\/2;jQuery(\"#sidebar\").animate({scrollLeft:o},100)}})})});<\/script>\r\n<\/div>\r\n\r\n\r\n<div id=\"overview\">\r\n<h2 id=\"about\">Synopsis<\/h2>\r\n\r\n<div class=\"synp my-4 my-lg-5 p-5\"><ul>\r\n<li><strong>Courses:&nbsp;<\/strong>You get access to all 61 courses, in the Projects bundle. You do not need to purchase each course separately.<\/li>\r\n<li><strong>Hours:&nbsp;<\/strong>323 Video Hours<\/li>\r\n<li><strong>Core Coverage:&nbsp;<\/strong>Machine learning using Python, Deep Learning, Data Science with R, Face Detection in Python, Bayesian Machine Learning, Business Intelligence, Artificial Intelligence, and Projects on Machine Learning.<\/li>\r\n<li><strong>Course Validity:&nbsp;<\/strong>One year access<\/li>\r\n<li><strong>Eligibility:&nbsp;<\/strong>Anyone who is serious about learning Machine Learning and wants to make a career in this Field<\/li>\r\n<li><strong>Pre-Requisites:&nbsp;<\/strong>Familiarity with at least one programming language is recommended<\/li>\r\n<li><strong>What do you get?&nbsp;<\/strong>Certificate of Completion for each of the 61 courses, Projects<\/li>\r\n<li><strong>Certification Type:&nbsp;<\/strong>Course Completion Certificates<\/li>\r\n<li><strong>Verifiable Certificates?&nbsp;<\/strong>Yes, you get verifiable certificates for each course with a unique link. These links can be included in your Resume\/Linkedin profile to showcase your enhanced Machine Learning Skills<\/li>\r\n<li><strong>Type of Training:&nbsp;<\/strong>Video Course &ndash; Self-Paced Learning<\/li>\r\n<\/ul><\/div>\r\n\r\n<\/div>\r\n\r\n<h2 class=\"mt-7\">Content<\/h2>\r\n\r\n<div id=\"curriculum\">\r\n\r\n\r\n<style type=\"text\/css\">#popmake-638617{overflow-y:scroll;height:500px}.accordion-table>:nth-child(n+2),.uk-accordion>:nth-child(n+2){margin-top:20px}.accordion-table li,ul.accordion-table.course-curriculum{margin-left:0!important}a.uk-accordion-titlee.bg-gradient-light{color:#555!important;border-bottom:1px solid #d2d2d2!important;background:#f7f9fa!important}.p2{padding:15px 15px!important}.uk-accordion-titlee h4,.uk-modal-body>:last-child,.uk-modal-footer>:last-child,.uk-modal-header>:last-child,table.uk-table.uk-table-striped{margin-bottom:0}.accordion-table{margin:0 auto 100px;border:1px solid #d9e5e8}.accordion-table li{position:relative}.accordion-table li div{display:none;color:#6b97a4}.accordion-table a{width:100%;display:block;cursor:pointer;font-weight:600;line-height:3;text-indent:15px;user-select:none;border-bottom:none!important}.accordion-table a:after{width:8px;height:8px;border-right:1px solid #4a6e78;border-bottom:1px solid #4a6e78;position:absolute;right:20px;content:\" \";top:17px;transform:rotate(-45deg);-webkit-transition:.2s ease-in-out;-moz-transition:.2s ease-in-out;transition:.2s ease-in-out}.accordion-table p{line-height:2;padding:10px}a.active:after{transform:rotate(45deg);-webkit-transition:.2s ease-in-out;-moz-transition:.2s ease-in-out;transition:.2s ease-in-out}<\/style>\r\n<div class=\"uk-overflow-auto\">  \r\n<ul class=\"accordion-table course-curriculum uk-accordion mt-5\" id=\"crs_table\">\r\n<li>\r\n<a class='active uk-accordion-titlee p2 bg-gradient-light'><h4> MODULE 1: ML Essentials Training<\/h4><\/a><table>\r\n<thead>\r\n<tr>\r\n<th>Courses<\/th>\r\n<th>No. of Hours<\/th>\r\n<th>Certificates<\/th>\r\n<th>Details<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody><tr><td>Overview of Machine Learning Certification<\/td><td>1m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5310'>View Curriculum<\/button><\/td><\/tr><tr><td>Artificial Intelligence with Python - Beginner Level<\/td><td>2h 51m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5123'>View Curriculum<\/button><\/td><\/tr><tr><td>Artificial Intelligence with Python - Intermediate Level<\/td><td>4h 34m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5140'>View Curriculum<\/button><\/td><\/tr><tr><td>ChatGPT Complete MasterClass - 2024<\/td><td>4h 57m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5303'>View Curriculum<\/button><\/td><\/tr><tr><td>AI Machine Learning in Python<\/td><td>8h 37m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4430'>View Curriculum<\/button><\/td><\/tr><tr><td>Microsoft Excel - Beginners<\/td><td>6h 44m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5097'>View Curriculum<\/button><\/td><\/tr><tr><td>Supervised Machine Learning with R 2024 - Linear Regression<\/td><td>3h 05m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5174'>View Curriculum<\/button><\/td><\/tr><tr><td>Machine Learning with Python 2024<\/td><td>5h 17m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5113'>View Curriculum<\/button><\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Machine Learning with Python Minor Test 1<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Machine Learning with Python Minor Test 2<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Excel Mock Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Machine Learning Assessment<\/td><\/tr><\/tbody><\/table><\/li><li>\r\n<a class='active uk-accordion-titlee p2 bg-gradient-light'><h4> MODULE 2: Machine Learning with Python<\/h4><\/a><table>\r\n<thead>\r\n<tr>\r\n<th>Courses<\/th>\r\n<th>No. of Hours<\/th>\r\n<th>Certificates<\/th>\r\n<th>Details<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody><tr><td>Machine Learning using Python<\/td><td>3h 26m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4074'>View Curriculum<\/button><\/td><\/tr><tr><td>Machine Learning with Python Case Study - Covid19 Mask Detector<\/td><td>2h 05m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5120'>View Curriculum<\/button><\/td><\/tr><tr><td>Deep Learning: Automatic Image Captioning for Social Media with Tensorflow<\/td><td>2h 31m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5125'>View Curriculum<\/button><\/td><\/tr><tr><td>Develop a Movie Recommendation Engine<\/td><td>51m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4629'>View Curriculum<\/button><\/td><\/tr><tr><td>Machine Learning Python Case Study - Diabetes Prediction<\/td><td>1h 02m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4536'>View Curriculum<\/button><\/td><\/tr><tr><td>Predictive Analytics and Modeling with Python<\/td><td>8h 26m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4352'>View Curriculum<\/button><\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Machine Learning with Python Major Test<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  ML Assessment Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Mock Exam Machine Learning<\/td><\/tr><\/tbody><\/table><\/li><li>\r\n<a class='active uk-accordion-titlee p2 bg-gradient-light'><h4> MODULE 3: Machine Learning with R<\/h4><\/a><table>\r\n<thead>\r\n<tr>\r\n<th>Courses<\/th>\r\n<th>No. of Hours<\/th>\r\n<th>Certificates<\/th>\r\n<th>Details<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody><tr><td>Machine Learning with R<\/td><td>20h 25m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3667'>View Curriculum<\/button><\/td><\/tr><tr><td>Time Series Analysis and Forecasting using R<\/td><td>4h 34m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4058'>View Curriculum<\/button><\/td><\/tr><tr><td>Project - Fraud Analytics using R<\/td><td>2h 34m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3863'>View Curriculum<\/button><\/td><\/tr><tr><td>Project - Marketing Analytics using R and Microsoft Excel<\/td><td>2h 9m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3721'>View Curriculum<\/button><\/td><\/tr><tr><td>Case Study - Customer Analytics using Tableau and R<\/td><td>2h 7m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3525'>View Curriculum<\/button><\/td><\/tr><tr><td>Case Study - Pricing Analytics using Tableau and R<\/td><td>2h 39m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3693'>View Curriculum<\/button><\/td><\/tr><tr><td>Cluster Analysis and Unsupervised Machine Learning - K-Means Clustering using R<\/td><td>43m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4723'>View Curriculum<\/button><\/td><\/tr><tr><td>Machine Learning Project using Caret in R<\/td><td>1h 58m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4690'>View Curriculum<\/button><\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Complete Machine Learning Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Machine Learning Ultimate Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  R Programming Basic Test<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Test Series R Programming<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  2023 R Programming Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  R Programming Complete Exam<\/td><\/tr><\/tbody><\/table><\/li><li>\r\n<a class='active uk-accordion-titlee p2 bg-gradient-light'><h4> MODULE 4: Machine Learning with MS Excel<\/h4><\/a><table>\r\n<thead>\r\n<tr>\r\n<th>Courses<\/th>\r\n<th>No. of Hours<\/th>\r\n<th>Certificates<\/th>\r\n<th>Details<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody><tr><td>Statistical Tools in Microsoft Excel<\/td><td>1h 11m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='959'>View Curriculum<\/button><\/td><\/tr><tr><td>Microsoft Excel - Advanced<\/td><td>9h 21m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5098'>View Curriculum<\/button><\/td><\/tr><tr><td>Microsoft Excel Charts and SmartArt Graphics<\/td><td>6h 18m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4282'>View Curriculum<\/button><\/td><\/tr><tr><td>Power Excel Training<\/td><td>5h 15m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3371'>View Curriculum<\/button><\/td><\/tr><tr><td>MS Excel Shortcuts<\/td><td>8h 22m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3738'>View Curriculum<\/button><\/td><\/tr><tr><td>Mastering Microsoft Excel Date and Time<\/td><td>2h 47m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4137'>View Curriculum<\/button><\/td><\/tr><tr><td>Date and Time Functions Microsoft Excel Training<\/td><td>2h 37m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3725'>View Curriculum<\/button><\/td><\/tr><tr><td>Shortcuts in Microsoft Excel<\/td><td>24m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='930'>View Curriculum<\/button><\/td><\/tr><tr><td>Graphs &amp; Charts in Microsoft Excel 2013<\/td><td>2h 6m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='1531'>View Curriculum<\/button><\/td><\/tr><tr><td>Financial Functions In MS Excel<\/td><td>2h 36m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='960'>View Curriculum<\/button><\/td><\/tr><tr><td>Microsoft Excel Solver Tutorial<\/td><td>48m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3755'>View Curriculum<\/button><\/td><\/tr><tr><td>Microsoft Excel for Financial Analysis<\/td><td>49m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3764'>View Curriculum<\/button><\/td><\/tr><tr><td>Microsoft Excel for Data Analyst<\/td><td>45m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3734'>View Curriculum<\/button><\/td><\/tr><tr><td>Business Intelligence using Microsoft Excel<\/td><td>5h 06m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3992'>View Curriculum<\/button><\/td><\/tr><tr><td>MS Excel Simulations Training<\/td><td>2h 15m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3268'>View Curriculum<\/button><\/td><\/tr><tr><td>Microsoft Power BI - Business Intelligence for Beginners to Advance<\/td><td>10h 34m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4424'>View Curriculum<\/button><\/td><\/tr><tr><td>Power BI: Software for Data Visualization<\/td><td>3h 3m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='5159'>View Curriculum<\/button><\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Excel Mock Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Excel Assessment Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Complete Excel Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Ultimate Excel Test<\/td><\/tr><\/tbody><\/table><\/li><li>\r\n<a class='active uk-accordion-titlee p2 bg-gradient-light'><h4> MODULE 5: Machine Learning from Projects & Practicals<\/h4><\/a><table>\r\n<thead>\r\n<tr>\r\n<th>Courses<\/th>\r\n<th>No. of Hours<\/th>\r\n<th>Certificates<\/th>\r\n<th>Details<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody><tr><td>Project on ML - Shipping and Time Estimation<\/td><td>2h 29m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4191'>View Curriculum<\/button><\/td><\/tr><tr><td>Project on ML - Supply Chain Demand Trends Analysis<\/td><td>1h 09m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4252'>View Curriculum<\/button><\/td><\/tr><tr><td>Predicting Prices using Regression Techniques<\/td><td>2h 18m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4270'>View Curriculum<\/button><\/td><\/tr><tr><td>Project on ML - Fraud Detection in Credit Payments<\/td><td>1h 51m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4278'>View Curriculum<\/button><\/td><\/tr><tr><td>Project on ML - Banking and Credit Frauds<\/td><td>44m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4295'>View Curriculum<\/button><\/td><\/tr><tr><td>Project on ML - Churn Prediction Model using R Studio<\/td><td>1h 22m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4442'>View Curriculum<\/button><\/td><\/tr><tr><td>Random Forest Algorithm using Python<\/td><td>1h 27m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4326'>View Curriculum<\/button><\/td><\/tr><tr><td>Predictive Analytics and Modeling with Python<\/td><td>8h 26m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4352'>View Curriculum<\/button><\/td><\/tr><tr><td>Projects and Case Studies on Machine Learning with Python<\/td><td>4h 38m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4324'>View Curriculum<\/button><\/td><\/tr><tr><td>Machine Learning Python Case Study - Diabetes Prediction<\/td><td>1h 02m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4536'>View Curriculum<\/button><\/td><\/tr><tr><td>Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression<\/td><td>2h 07m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4543'>View Curriculum<\/button><\/td><\/tr><tr><td>Project on R - HR Attrition and Analytics<\/td><td>2h 08m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4569'>View Curriculum<\/button><\/td><\/tr><tr><td>Predicting Credit Default using Logistic Regression in Python<\/td><td>3h 3m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4665'>View Curriculum<\/button><\/td><\/tr><tr><td>House Price Prediction using Linear Regression in Python<\/td><td>3h 2m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4664'>View Curriculum<\/button><\/td><\/tr><tr><td>Poisson Regression with SAS Stat<\/td><td>2h 21m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4703'>View Curriculum<\/button><\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Complete Machine Learning Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Machine Learning Ultimate Exam<\/td><\/tr><\/tbody><\/table><\/li><li>\r\n<a class='active uk-accordion-titlee p2 bg-gradient-light'><h4> MODULE 6: Machine Learning Hands-On<\/h4><\/a><table>\r\n<thead>\r\n<tr>\r\n<th>Courses<\/th>\r\n<th>No. of Hours<\/th>\r\n<th>Certificates<\/th>\r\n<th>Details<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody><tr><td>Machine Learning ZERO to HERO - Hands-on with Tensorflow<\/td><td>13h 38m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4279'>View Curriculum<\/button><\/td><\/tr><tr><td>Deep Learning ZERO to HERO - Hands-on with Python<\/td><td>11h 17m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4322'>View Curriculum<\/button><\/td><\/tr><tr><td>Machine Learning with MATLAB<\/td><td>2h 15m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='3679'>View Curriculum<\/button><\/td><\/tr><tr><td>Projects and Case Studies on Machine Learning with Python<\/td><td>4h 38m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4324'>View Curriculum<\/button><\/td><\/tr><tr><td>Bayesian Statistics & Supervised Machine Learning: A\/B Testing<\/td><td>57m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4014'>View Curriculum<\/button><\/td><\/tr><tr><td>Octave Machine Learning Training - Beginners to Beyond<\/td><td>3h 35m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='4370'>View Curriculum<\/button><\/td><\/tr><tr><td>Artificial Intelligence and Machine Learning Training Course<\/td><td>12h 8m<\/td><td align='center' style='vertical-align: middle;text-align:center;'>\u2714<\/td><td><button class='p-3 uk-width-1-1 crs pum-trigger popmake-638617' type='button' data-id='1686'>View Curriculum<\/button><\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Machine Learning Assessment<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  ML Assessment Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Mock Exam Machine Learning<\/td><\/tr><\/tbody><\/table><\/li><li>\r\n<a class='active uk-accordion-titlee p2 bg-gradient-light'><h4> MODULE 7: Mock Tests & Quizzes<\/h4><\/a><table>\r\n<thead>\r\n<tr>\r\n<th>Courses<\/th>\r\n<th>No. of Hours<\/th>\r\n<th>Certificates<\/th>\r\n<th>Details<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody><tr><td colspan='4' style='color:black;'>Test -  2023 Excel Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Assessment Exam 2022<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  2022 Excel Mock Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Excel 2023 Assessment Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Complete Excel Test 2023<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  2023 - Excel Mock Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  Test Series R Programming<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  2023 R Programming Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  R Programming Complete Exam<\/td><\/tr><tr><td colspan='4' style='color:black;'>Test -  R Programming Practice Test<\/td><\/tr><\/tbody><\/table><\/li><\/ul>\r\n<\/div>\r\n<!--<button class=\"uk-button uk-button-default uk-margin-small-right\" type=\"button\" uk-toggle=\"target: #cclm\">Default<\/button>-->\r\n<\/div>\r\n<!-- Curriculum Modal -->\r\n<script>\r\njQuery(document).ready(function() {\r\n(function($) {\r\n    jQuery('.synp ul').addClass('list-3');\r\n    jQuery('.accordion-table > li:eq(0) a').addClass('active').next().slideDown();\r\n\r\n    jQuery('.accordion-table').on(\"click\",\"a\",function(z) {\r\n        var dropDown = jQuery(this).closest('li').find('div');\r\n\r\n        jQuery(this).closest('.accordion-table').find('div').not(dropDown).slideUp();\r\n\r\n        if (jQuery(this).hasClass('active')) {\r\n            jQuery(this).removeClass('active');\r\n        } else {\r\n            jQuery(this).closest('.accordion-table').find('a.active').removeClass('active');\r\n            jQuery(this).addClass('active');\r\n        }\r\n\r\n        dropDown.stop(false, true).slideToggle();\r\n\r\n        z.preventDefault();\r\n    });\r\n})(jQuery);\r\njQuery(document).on(\"click\", \".crs\", function () { console.log(\"clicked\");\r\njQuery(\"#ppl_ldr\").css(\"display\",\"flex\");\r\nvar crst = jQuery(\"#crs_crm\"); var n=1; var clst = '';\r\ncrst.html(\"\");\r\nvar cid = jQuery(this).data('id');\r\njQuery.ajax({\r\n\tmethod: \"GET\",\r\n\turl: \"https:\/\/www.educba.com\/ajax\/get_curriculum_bf.php?c=\" + cid,\r\n\tdataType: \"json\",\r\n\tcache: false,\r\n\taync: true,\r\n\tsuccess: function (result) {\r\n\tjQuery(\"#ppl_ldr\").css(\"display\",\"none\");\t\t\r\n\tif(result.lesson_avail == \"yes\") {\r\n\tvar cnt = result.structure.length;\r\n\tfor(c=0;c<cnt;c++) {\r\n\tif((result.structure[c].lesson_type == \"S\") && (c == 0)) {\r\n\tclst += \"<li><a class='active uk-accordion-titlee bg-gradient-light'>\" + result.structure[c].title + \"<\/a><ul class='course-curriculum-list cclib' style='display:block;'>\";\r\n\tn++;\r\n\t} else if((result.structure[c].lesson_type == \"S\") && (c > 0)) {\r\n\tclst += \"<\/ul><\/li>\";\r\n\tclst += \"<li><a class='uk-accordion-titlee bg-gradient-light'>\" + result.structure[c].title + \"<\/a><ul class='course-curriculum-list cclib'>\";\r\n\tn++;\r\n\t} else if(result.structure[c].lesson_type == \"T\") {\r\n\tclst += \"<li>\" + result.structure[c].title + \"<\/li>\";\r\n\t}\r\n\t}\r\n\tclst += \"<\/ul><\/li>\";\r\n\tcrst.html(clst);\r\n\t}\r\n\t}\r\n});\r\n\/\/UIkit.modal(\"#cclm\").show();\r\n});\r\n});\r\n<\/script>\r\n\r\n<div>\r\n<h2 class=\"my-5\">Description<\/h2>\r\n<p>The course is designed to provide comprehensive training in machine learning (ML) techniques, catering to both beginners and experienced individuals looking to enhance their skills in this rapidly growing field. Through a series of modules, participants will embark on a journey that covers fundamental concepts, practical implementations, and advanced applications of ML algorithms. Whether you're a novice seeking to understand the basics or a seasoned professional aiming to deepen your expertise, this course offers a structured curriculum that caters to diverse learning needs. With hands-on projects, real-world case studies, and interactive assessments, participants will gain practical experience and proficiency in ML, empowering them to tackle complex challenges and drive innovation in various domains.<\/p>\r\n<p style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; margin: 1.25em 0px; color: #0d0d0d; font-family: S&ouml;hne, ui-sans-serif, system-ui, -apple-system, 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'; font-size: 16px; white-space-collapse: preserve;\"><span style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; font-weight: 600; color: var(--tw-prose-bold);\">MODULE 1: ML Essentials Training<\/span> This module serves as a foundational course in machine learning (ML), providing a thorough understanding of core concepts and methodologies. Students begin by learning about the fundamental principles of ML, including supervised and unsupervised learning techniques. They delve into various algorithms such as linear regression, decision trees, and k-nearest neighbors, understanding their applications and limitations. Additionally, the module covers essential topics like feature engineering, model evaluation, and cross-validation techniques. By the end of this module, students gain a solid grounding in ML essentials, laying the groundwork for more advanced topics.<\/p>\r\n<p style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; margin: 1.25em 0px; color: #0d0d0d; font-family: S&ouml;hne, ui-sans-serif, system-ui, -apple-system, 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'; font-size: 16px; white-space-collapse: preserve;\"><span style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; font-weight: 600; color: var(--tw-prose-bold);\">MODULE 2: Machine Learning with Python<\/span> In this module, students dive into the practical implementation of machine learning algorithms using the Python programming language. They start by exploring Python's powerful libraries such as NumPy, Pandas, and Scikit-learn, which provide robust support for data manipulation, preprocessing, and modeling. Through hands-on exercises and projects, students learn to apply various machine learning algorithms for tasks like classification, regression, and clustering. They also gain exposure to advanced topics like deep learning using TensorFlow and Keras. By the end of this module, students develop proficiency in building and deploying machine learning models using Python.<\/p>\r\n<p style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; margin: 1.25em 0px; color: #0d0d0d; font-family: S&ouml;hne, ui-sans-serif, system-ui, -apple-system, 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'; font-size: 16px; white-space-collapse: preserve;\"><span style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; font-weight: 600; color: var(--tw-prose-bold);\">MODULE 3: Machine Learning with R<\/span> This module focuses on leveraging the R programming language for machine learning tasks. Students learn to preprocess data, perform exploratory data analysis (EDA), and build predictive models using R's extensive ecosystem of packages. They gain hands-on experience with popular libraries such as caret and tidymodels, which offer robust support for model training, evaluation, and visualization. Additionally, students explore advanced topics like ensemble learning, hyperparameter tuning, and model interpretation techniques. By the end of this module, students become proficient in using R for end-to-end machine learning projects.<\/p>\r\n<p style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; margin: 1.25em 0px; color: #0d0d0d; font-family: S&ouml;hne, ui-sans-serif, system-ui, -apple-system, 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'; font-size: 16px; white-space-collapse: preserve;\"><span style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; font-weight: 600; color: var(--tw-prose-bold);\">MODULE 4: Machine Learning with MS Excel<\/span> In this module, students learn to harness the power of Microsoft Excel for machine learning applications. They explore Excel's built-in functions and tools for data analysis, regression, and classification tasks. Through practical examples and exercises, students learn to preprocess data, build predictive models, and generate insights using Excel's user-friendly interface. They also discover how to create interactive dashboards and visualizations to communicate their findings effectively. By the end of this module, students gain a unique perspective on machine learning and data analysis using Excel as a tool.<\/p>\r\n<p style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; margin: 1.25em 0px; color: #0d0d0d; font-family: S&ouml;hne, ui-sans-serif, system-ui, -apple-system, 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'; font-size: 16px; white-space-collapse: preserve;\"><span style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; font-weight: 600; color: var(--tw-prose-bold);\">MODULE 5: Machine Learning from Projects &amp; Practicals<\/span> This module focuses on applying machine learning techniques to real-world projects and case studies. Students work on hands-on assignments that simulate industry scenarios, such as customer segmentation, sentiment analysis, and recommendation systems. They apply their knowledge gained from previous modules to solve these practical challenges, gaining valuable experience in model development, evaluation, and deployment. Additionally, students learn best practices for project management, collaboration, and presentation skills, preparing them for real-world machine learning projects in diverse domains.<\/p>\r\n<p style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; margin: 1.25em 0px; color: #0d0d0d; font-family: S&ouml;hne, ui-sans-serif, system-ui, -apple-system, 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'; font-size: 16px; white-space-collapse: preserve;\"><span style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; font-weight: 600; color: var(--tw-prose-bold);\">MODULE 6: Machine Learning Hands-On<\/span> This module provides an immersive, hands-on experience in machine learning, allowing students to deepen their practical skills and expertise. Through a series of guided projects and coding exercises, students tackle complex machine learning problems from start to finish. They explore advanced topics such as natural language processing (NLP), computer vision, and reinforcement learning, gaining proficiency in cutting-edge ML techniques. Additionally, students have the opportunity to work on industry-relevant projects, collaborate with peers, and receive personalized feedback from instructors to enhance their learning experience.<\/p>\r\n<p style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; margin: 1.25em 0px 0px; color: #0d0d0d; font-family: S&ouml;hne, ui-sans-serif, system-ui, -apple-system, 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Helvetica Neue', Arial, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji'; font-size: 16px; white-space-collapse: preserve;\"><span style=\"border: 0px solid #e3e3e3; box-sizing: border-box; --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; font-weight: 600; color: var(--tw-prose-bold);\">MODULE 7: Mock Tests &amp; Quizzes<\/span> In this module, students have the opportunity to assess their understanding and reinforce their learning through mock tests and quizzes. These assessments cover the material from each module, helping students gauge their progress and identify areas for improvement. By simulating real-world exam conditions, students can build confidence and test their knowledge across a range of machine learning topics. Moreover, the feedback provided on their performance allows students to focus their efforts on areas that require further study, ensuring a well-rounded understanding of machine learning concepts and techniques.<\/p>\r\n<\/div>\r\n\r\n<div id=\"certificate\">\r\n<h2 class=\"my-5\">Sample Certificate<\/h2>\r\n<img decoding=\"async\" class=\"alignnone size-full wp-image-545550\" src=\"https:\/\/cdn.educba.com\/academy\/wp-content\/uploads\/2022\/07\/Machine-Learning-Course-Certification.jpg\" alt=\"Course Certification\" style=\"width:80%\" \/>\r\n<hr \/>\r\n<\/div>\r\n\r\n<div id=\"pre-requisites\">\r\n<div class=\"custom-container-styling\">\r\n<div class=\"signature-details\">\r\n<h2 class=\"title my-5\">Requirements<\/h2>\r\n<\/div>\r\n<ul>\r\n<li><strong>Basic Knowledge of Programming:<\/strong> Familiarity with programming languages such as Python, R, or MATLAB will be advantageous as many examples and exercises will involve coding in these languages.<\/li>\r\n<li><strong>Understanding of Mathematics and Statistics:<\/strong> A foundational understanding of mathematical concepts like algebra, calculus, and statistics will aid in comprehending the underlying principles of machine learning algorithms.<\/li>\r\n<li><strong>Familiarity with Data Analysis:<\/strong> Prior experience with data analysis tools and techniques will be helpful, as machine learning often involves working with large datasets, preprocessing, and analyzing data to derive insights.<\/li>\r\n<li><strong><em>While not mandatory, having these prerequisites will enhance the learning experience and ensure participants can grasp the concepts more effectively.<\/em><\/strong><\/li>\r\n<li><strong>Knowledge of Machine Learning Concepts:<\/strong> While not mandatory, having a basic understanding of machine learning concepts such as supervised learning, unsupervised learning, and model evaluation metrics can help in grasping the course content more quickly.<\/li>\r\n<li><strong>Experience with Data Visualization Tools:<\/strong> Familiarity with data visualization tools like Matplotlib, Seaborn, or ggplot2 can aid in visualizing the results of machine learning models and communicating insights effectively.<\/li>\r\n<li><strong>Access to Machine Learning Libraries:<\/strong> Having access to machine learning libraries such as scikit-learn for Python or caret for R will enable participants to implement machine learning algorithms and practice coding exercises more efficiently.<\/li>\r\n<li><strong>Problem-Solving Skills:<\/strong> Strong problem-solving skills and the ability to think critically are essential for understanding and applying machine learning algorithms to real-world problems.<\/li>\r\n<\/ul><\/div>\r\n<\/div>\r\n<div class=\"mt-8\" id=\"target-audience\">\r\n<div class=\"custom-container-styling target_a\">\r\n<div class=\"signature-details\">\r\n<h2 class=\"title my-5\">Target Audience<\/h2>\r\n<\/div>\r\n<ul>\r\n<li><strong>Beginners:<\/strong> Individuals who are new to the field of machine learning and wish to build a strong foundation in both theory and practical implementation.<\/li>\r\n<li><strong>Data Enthusiasts:<\/strong> Professionals working with data who want to expand their skill set and learn how to apply machine learning techniques to analyze and derive insights from data.<\/li>\r\n<li><strong>Students:<\/strong> Undergraduate or graduate students studying computer science, data science, statistics, or related fields who want to supplement their academic learning with practical machine learning experience.<\/li>\r\n<li><strong>Professionals Seeking Career Advancement:<\/strong> Individuals looking to transition into roles such as data analyst, data scientist, machine learning engineer, or artificial intelligence specialist, where knowledge of machine learning is highly valued.<\/li>\r\n<li><strong>Business Owners and Managers:<\/strong> Entrepreneurs or business leaders who want to understand how machine learning can be leveraged to improve decision-making, optimize processes, and gain a competitive edge in their industry.<\/li>\r\n<li><strong>Anyone Interested in AI:<\/strong> Individuals with a general interest in artificial intelligence and its applications across various domains, seeking to gain hands-on experience with machine learning algorithms and techniques.<\/li>\r\n<\/ul><\/div>\r\n<\/div>\r\n<div id=\"reviews\">\r\n<h2 class=\"my-5\">Course Ratings<\/h2>\r\n\r\n<div class=\"comments\">\r\n<ul class=\"ml-0\">\r\n<li class=\"ml-0\">\r\n<div class=\"comments-avatar\"><img decoding=\"async\" src=\"https:\/\/cdn.educba.com\/review_img\/1136413030eshber.jpg\" alt=\"Michelle Esber\">\r\n<\/div>\r\n<div class=\"comment-content\">\r\n<div class=\"comment-by pb-0\">Comprehensive course for refresher<div class=\"comment-stars\">\r\n<div class=\"star-rating\">\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<p class=\"m-0\">Great course for someone like me who's been using Excel everyday but didn't know about data analysis tool available in it. I've always have to open JMP for analysis even just for simple charting and correlation plotting. Now I know I can do that in Excel too. Thanks! \ud83d\ude42<\/p>\r\n<div class=\"comment-footer mt-0\">\r\n<p class=\"m-0\" style=\"font-weight:700\">Michelle Esber <a style=\"margin-left:5px;vertical-align:middle\" href=\"https:\/\/www.linkedin.com\/in\/michelle-esber-b4b80863\/\"> <i class=\"icon-brand-linkedin\"><\/i><\/a><\/p>\r\n<\/div>\r\n<\/div>\r\n\r\n<\/li>\r\n<li class=\"ml-0\">\r\n<div class=\"comments-avatar\"><img decoding=\"async\" src=\"https:\/\/cdn.educba.com\/images\/noprofile.jpg\" alt=\"Sumari Hattingh Van Niekerk\">\r\n<\/div>\r\n<div class=\"comment-content\">\r\n<div class=\"comment-by pb-0\">Statistical Tools in Excel: Review<div class=\"comment-stars\">\r\n<div class=\"star-rating\">\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<p class=\"m-0\">This course was great to attend and learn about Excel's \"Data Analytics\" add-in function!<\/p>\r\n<div class=\"comment-footer mt-0\">\r\n<p class=\"m-0\" style=\"font-weight:700\">Sumari Hattingh Van Niekerk <a style=\"margin-left:5px;vertical-align:middle\" href=\"https:\/\/www.linkedin.com\/in\/sumari-hattingh-van-niekerk\/30bb-2129\/\"> <i class=\"icon-brand-linkedin\"><\/i><\/a><\/p>\r\n<\/div>\r\n<\/div>\r\n\r\n<\/li>\r\n<li class=\"ml-0\">\r\n<div class=\"comments-avatar\"><img decoding=\"async\" src=\"https:\/\/cdn.educba.com\/images\/noprofile.jpg\" alt=\"Akshit Raj Choudhary\">\r\n<\/div>\r\n<div class=\"comment-content\">\r\n<div class=\"comment-by pb-0\">Excel-lent Foundation: Unlocking the Power of Spreadsheets<div class=\"comment-stars\">\r\n<div class=\"star-rating\">\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<p class=\"m-0\">Overall, I found the course to be incredibly informative and beneficial to my understanding of Excel.\r\n\r\nOne aspect of the course that stood out to me was the clarity of instruction. The instructor did an excellent job of breaking down complex concepts into easy-to-understand explanations. This made learning Excel much more manageable, especially for someone like me who was relatively new to the software.\r\n\r\nI also appreciated the practical approach taken throughout the course. The hands-on exercises and real-world examples helped me grasp the material more effectively. By applying what I learned in a practical context, I felt more confident in my abilities to use Excel in various scenarios.\r\n\r\nAdditionally, I found the pacing of the course to be just right. It covered a wide range of topics without feeling rushed, allowing me to absorb the information at a comfortable pace. The supplemental materials provided were also a valuable resource, offering additional support and reinforcement<\/p>\r\n<div class=\"comment-footer mt-0\">\r\n<p class=\"m-0\" style=\"font-weight:700\">Akshit Raj Choudhary <a style=\"margin-left:5px;vertical-align:middle\" href=\"https:\/\/www.linkedin.com\/in\/akshit-raj-choudhary-844717281\/\"> <i class=\"icon-brand-linkedin\"><\/i><\/a><\/p>\r\n<\/div>\r\n<\/div>\r\n\r\n<\/li>\r\n<li class=\"ml-0\">\r\n<div class=\"comments-avatar\"><img decoding=\"async\" src=\"https:\/\/cdn.educba.com\/review_img\/7448199585shushanth.jpg\" alt=\"SHUSHANTH T\">\r\n<\/div>\r\n<div class=\"comment-content\">\r\n<div class=\"comment-by pb-0\">Forecasting using R<div class=\"comment-stars\">\r\n<div class=\"star-rating\">\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star\"><\/span>\r\n<span class=\"star half\"><\/span> <\/div>\r\n<\/div>\r\n<\/div>\r\n<p class=\"m-0\">This tutorial was really helpful in understanding forecasting using R. The explanation was really easy to understand and the examples were really useful. The coverage of topics was good starting with the basics then going deep into the topics. they have covered simple forecasting methods, transformations, and adjustments, time series regressions \r\n and arima models<\/p>\r\n<div class=\"comment-footer mt-0\">\r\n<p class=\"m-0\" style=\"font-weight:700\">SHUSHANTH T <a style=\"margin-left:5px;vertical-align:middle\" href=\"https:\/\/www.linkedin.com\/in\/shushanth-t-267a31106\/\"> <i class=\"icon-brand-linkedin\"><\/i><\/a><\/p>\r\n<\/div>\r\n<\/div>\r\n\r\n<\/li>\r\n<\/ul>\r\n<\/div>\r\n\r\n<\/div>\r\n\r\n<style>.cities{display:inline-block!important;list-style:outside none none!important;margin-top:10px!important;padding:0!important;width:100%;margin-left:0!important}.cities>li a{text-decoration:none;border-bottom:0!important}.cities li{border-radius:5px;margin-left:15px!important;text-decoration:none;background:#fff none repeat scroll 0 0!important;box-shadow:3px 2px 5px #e5e3e3!important;color:#222!important;float:left!important;font-size:14px;font-weight:400!important;margin-bottom:10px!important;margin-right:12px!important;padding:4px 15px;list-style-type:none!important;border:1px solid #ccc}<\/style>\r\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Product\",\"name\":\"Machine Learning Course\",\"aggregateRating\":{\"@type\":\"AggregateRating\",\"ratingValue\":\"4.9\",\"reviewCount\":26},\"review\":[{\"@type\":\"Review\",\"author\":{\"@type\":\"Person\",\"name\":\"Matthew Rolley\"},\"datePublished\":\"2018-02-27\",\"description\":\"I really enjoyed this Machine learning course, and found the statistical approaches useful - especially the regression and cluster sampling sections. The course pacing was easy to understand, and the topics covered in a comprehensive but not over-explained way. Thanks for giving such an interesting and useful course!\",\"name\":\"Machine Learning\",\"reviewRating\":{\"@type\":\"Rating\",\"bestRating\":5,\"ratingValue\":5,\"worstRating\":4}},{\"@type\":\"Review\",\"author\":{\"@type\":\"Person\",\"name\":\"Ammar Khan\"},\"datePublished\":\"2018-08-19\",\"description\":\"Nice introductory course if you want to get a basic understanding of what Machine Learning is. You don't need ridiculous technical chops to gain something from this Machine learning training course, it's put together in a way that anyone can value from and truly understand it. I'd definitely recommend it to anyone who just wants to dip their toes in the Machine Learning waters.\",\"name\":\"Machine Learning Course \",\"reviewRating\":{\"@type\":\"Rating\",\"bestRating\":5,\"ratingValue\":5,\"worstRating\":4}},{\"@type\":\"Review\",\"author\":{\"@type\":\"Person\",\"name\":\"Tsui Man Kit\"},\"datePublished\":\"2018-12-31\",\"description\":\"The course covers a wide range of areas into linear and multiple linear regression and decision tress. It also covers both theory and application using R neural network , time series analysis and gradient boosting machines. I have enjoyed learning in this Machine learning course very much and found it useful in my work.\",\"name\":\"Machine Learning \",\"reviewRating\":{\"@type\":\"Rating\",\"bestRating\":5,\"ratingValue\":5,\"worstRating\":4}},{\"@type\":\"Review\",\"author\":{\"@type\":\"Person\",\"name\":\"Attila Nagy\"},\"datePublished\":\"2018-12-24\",\"description\":\"This Machine learning training course is good and it shows practical examples as well. However in the first part it shows examples with not appropriate enlarge, so the commands and the outputs are not properly visible. I suggest to include more practical examples related to MatLab. The second part's examples are clearly visible.\",\"name\":\"Machine Learning Course\",\"reviewRating\":{\"@type\":\"Rating\",\"bestRating\":5,\"ratingValue\":5,\"worstRating\":4}}]}],\"@type\": \"FAQPage\", \"mainEntity\": [{ \"@type\": \"Question\", \"name\": \" Does this machine learning course all the relevant material for becoming a data scientist?\", \"acceptedAnswer\": { \"@type\": \"Answer\", \"text\": \"Yes. It teaches all of what is needed to crack a data science interview and execute data science tasks in your organization. It makes you do projects and assignment to make sure you are able to solve problems in real life.\" } }, { \"@type\": \"Question\", \"name\": \" Will I be able to qualify the interview for ML roles after taking this machine learning training?\", \"acceptedAnswer\": { \"@type\": \"Answer\", \"text\": \"Most of our past students got successfully placed in MNC\u00e2\u20ac\u2122s and startups as well after taking this course and so shall be you. Those students who are focused and completes all assignments and projects usually do much better in interviews and job application.\" } }, { \"@type\": \"Question\", \"name\": \" Is this machine learning certification heavily math oriented?\", \"acceptedAnswer\": { \"@type\": \"Answer\", \"text\": \"Some familiarity with high school math is recommended. But it is not all about mathematics. Mathematics help you understand the concept better and make you see a lot of insights and thus we recommended that you revise your math skill if you are not very confident. But at the same time, one can ignore the math part and still understand the content.\" } }, { \"@type\": \"Question\", \"name\": \" How much programming do I need to know to understand this machine learning training?\", \"acceptedAnswer\": { \"@type\": \"Answer\", \"text\": \"Knowledge of programming is required as most of the exercises are coding based. For non-technical background people or managers, the focus could be on application and concepts if they are not planning to do coding in their job.\" } }]}<\/script>\r\n\r\n<\/div><\/div><\/div>\r\n\t\t\t\t \r\n                <\/div>\r\n\r\n                <div class=\"right-price-panel uk-width-1-3@m\">\r\n                    <div id=\"right-card\" class=\"course-card-trailer\" uk-sticky=\"end: .pl-10;animation: uk-animation-slide-top;top: 10 ;offset:140 ; media: @m ; bottom:true\">\r\n\r\n                        <div class=\"course-thumbnail\">\r\n\t\t\t\t\t\t<video id=\"prmvd\" name=\"media\"><\/video>\r\n\t\t\t\t\t\t<a class=\"play-button-trigger show\" href=\"#preview-course\" uk-toggle> <\/a>\r\n                        <\/div>\r\n\r\n\t\t\t\t\t\t<div id=\"preview-course\" class=\"uk-flex-top\" uk-modal>\r\n                            <div class=\"uk-modal-dialog uk-margin-auto-vertical\">\r\n                                <button class=\"uk-modal-close-outside\" type=\"button\" 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