{"id":7973,"date":"2026-08-10T09:50:28","date_gmt":"2026-08-10T09:50:28","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-traffic-forecasting-with-python-lstm-graph-neural-network-2024-11\/"},"modified":"2026-08-10T09:50:28","modified_gmt":"2026-08-10T09:50:28","slug":"udemy-traffic-forecasting-with-python-lstm-graph-neural-network-2024-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-traffic-forecasting-with-python-lstm-graph-neural-network-2024-11\/","title":{"rendered":"Udemy \u2013 Traffic Forecasting with Python: LSTM &#038; Graph Neural Network 2024-11"},"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\">Traffic Forecasting with Python: LSTM &amp; Graph Neural Network Course. This course is an in-depth journey into the world of advanced time series forecasting, specifically for traffic data analysis using Python. Throughout the course, learners will work with the real-world PeMSD7 traffic speed dataset to build predictive models that can predict traffic conditions with high accuracy. The course focuses on combining long-term short-term memory (LSTM) networks with graph convolutional networks (GCN) to enable learners to understand and apply advanced techniques in spatio-temporal data analysis.<\/span><\/p>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<p data-sourcepos=\"6:1-6:258\"><span style=\"vertical-align: inherit\">Key topics include data preprocessing, feature engineering, model building, and evaluation, along with hands-on coding in Python to reinforce understanding. Learners will also gain hands-on experience using popular libraries such as TensorFlow and Keras for deep learning applications.<\/span><\/p>\n<h3 data-sourcepos=\"8:1-8:88\"><span style=\"vertical-align: inherit\">What you will learn in this course<\/span><\/h3>\n<ul data-sourcepos=\"9:1-15:0\">\n<li data-sourcepos=\"9:1-9:56\"><span style=\"vertical-align: inherit\">Understanding and analyzing real-world traffic data using Python<\/span><\/li>\n<li data-sourcepos=\"10:1-10:72\"><span style=\"vertical-align: inherit\">Implementation and application of graph convolutional networks (GCN) for traffic data<\/span><\/li>\n<li data-sourcepos=\"11:1-11:56\"><span style=\"vertical-align: inherit\">Combining LSTM networks with GCN for time series prediction<\/span><\/li>\n<li data-sourcepos=\"12:1-12:65\"><span style=\"vertical-align: inherit\">Preprocessing and normalizing large datasets for machine learning<\/span><\/li>\n<li data-sourcepos=\"13:1-13:80\"><span style=\"vertical-align: inherit\">Build, train, and evaluate predictive models using TensorFlow and Keras<\/span><\/li>\n<li data-sourcepos=\"14:1-15:0\"><span style=\"vertical-align: inherit\">Visualizing and interpreting model results for traffic forecasting<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"16:1-16:30\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul data-sourcepos=\"17:1-23:0\">\n<li data-sourcepos=\"17:1-17:76\"><span style=\"vertical-align: inherit\">Data scientists and machine learning engineers interested in time series forecasting<\/span><\/li>\n<li data-sourcepos=\"18:1-18:101\"><span style=\"vertical-align: inherit\">Python programmers looking to improve their skills in deep learning and graph-based models<\/span><\/li>\n<li data-sourcepos=\"19:1-19:81\"><span style=\"vertical-align: inherit\">Researchers and students in the fields of transportation, urban planning, or smart cities<\/span><\/li>\n<li data-sourcepos=\"20:1-20:80\"><span style=\"vertical-align: inherit\">Professionals working with traffic data or other spatiotemporal datasets<\/span><\/li>\n<li data-sourcepos=\"21:1-21:132\"><span style=\"vertical-align: inherit\">Artificial intelligence enthusiasts who seek to understand and implement advanced neural network architectures such as LSTM and convolutional graph networks<\/span><\/li>\n<li data-sourcepos=\"22:1-23:0\"><span style=\"vertical-align: inherit\">People with a data analytics background who want to apply machine learning to real-world datasets<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Course details: Traffic Forecasting with Python: LSTM &amp; Graph Neural Network<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/traffic-forecasting-with-python-lstm-graph-neural-network\/?couponCode=NEWYEARCAREER\" 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\/karthik-karunakaran\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Karthik Karunakaran, Ph.D.<\/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: 1 hour and 8 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 38<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-955481 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/01\/Traffic-Forecasting-with-Python-LSTM-Graph-Neural-Network2.png\" alt=\"Traffic Forecasting with Python: LSTM &amp; Graph Neural Network\" width=\"806\" height=\"172\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Prerequisites for the Traffic Forecasting with Python: LSTM &amp; Graph Neural Network course<\/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\"><span style=\"vertical-align: inherit\">Basic proficiency in Python programming.<\/span><\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Access to a computer with an internet connection for coding and data analysis.<\/span><\/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-955480 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/01\/Traffic-Forecasting-with-Python-LSTM-Graph-Neural-Network.png\" alt=\"Traffic Forecasting with Python: LSTM &amp; Graph Neural Network\" width=\"824\" height=\"397\"><\/h2>\n<h3><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-151076-1\"><video class=\"wp-video-shortcode\" id=\"video-151076-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Traffic_Forecasting_with_Python_LSTM_and_Graph_Neural_Network_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Traffic_Forecasting_with_Python_LSTM_and_Graph_Neural_Network_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Traffic_Forecasting_with_Python_LSTM_and_Graph_Neural_Network_Downloadly.ir.mp4?nocache=1786111041249\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Traffic_Forecasting_with_Python_LSTM_and_Graph_Neural_Network_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\">Subtitles: 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:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Traffic_Forecasting_with_Python_LSTM_and_Graph_Neural_Network_2024-11_Downloadly.ir.rar?nocache=1786111040\"><span style=\"vertical-align: inherit\">Download file \u2013 154 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\">154 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Traffic Forecasting with Python: LSTM &amp; Graph Neural Network Course. This course is an in-depth journey into the world of advanced time series f<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[71624,71625,71626,71627,71628,47938],"class_list":["post-7973","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-traffic-forecasting-with-python-lstm-graph-neural-network","dgi_tag-download-course-traffic-forecasting-with-python-lstm-graph-neural-network","dgi_tag-download-traffic-forecasting-with-python-lstm-graph-neural-network","dgi_tag-free-download-traffic-forecasting-with-python-lstm-graph-neural-network","dgi_tag-free-traffic-forecasting-with-python-lstm-graph-neural-network","dgi_tag-karthik-karunakaran"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/7973","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\/7973\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=7973"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=7973"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=7973"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}