{"id":12226,"date":"2026-08-10T10:42:51","date_gmt":"2026-08-10T10:42:51","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/real-world-machinelearning-the-real-world-ml-tutorial-2025-9\/"},"modified":"2026-08-10T10:42:51","modified_gmt":"2026-08-10T10:42:51","slug":"real-world-machinelearning-the-real-world-ml-tutorial-2025-9","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/real-world-machinelearning-the-real-world-ml-tutorial-2025-9\/","title":{"rendered":"Real World Machinelearning \u2013 The Real-World ML Tutorial 2025-9"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>The Real-World Machine Learning Tutorial, Build a real-world ML system from A to Z. Learn how to design, develop, and deploy end-to-end ML products that help top startups and enterprises solve their business problems. This comprehensive tutorial covers the complete journey from understanding business problems to deploying ML solutions using MLOps best practices. You\u2019ll master the 4 essential steps that transform any business problem into an ML solution: translating business problems into Machine Learning problems, preparing data and building robust pipelines, model prototyping with experimentation and training, and model operationalization with deployment and monitoring.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul>\n<li>Learn to translate business problems into Machine Learning solutions<\/li>\n<li>Build clean and robust data pipelines with Python to fetch, validate, transform and generate training data<\/li>\n<li>Create quick and powerful model baselines with feature engineering and boosting trees<\/li>\n<li>Optimize model hyper-parameters to maximize performance<\/li>\n<li>Transform ML model prototypes into fully working real-world batch-scoring systems<\/li>\n<li>Deploy ML solutions using Feature Store and GitHub actions<\/li>\n<li>Build frontend dashboards to show live predictions<\/li>\n<li>Implement monitoring systems for ML models<\/li>\n<li>Master the 4 steps from business problem to ML solution<\/li>\n<li>Apply MLOps best practices for deployment and monitoring<\/li>\n<\/ul>\n<h3>Who this course is for<\/h3>\n<ul>\n<li>You\u2019ve trained an ML model before and know how to prepare data and train a model in a notebook<\/li>\n<li>You want to learn how to design, implement and deploy a Machine Learning solution from A to Z<\/li>\n<li>You want to master the 4 steps that transform any business problem into an ML solution<\/li>\n<li>You want to land an ML Engineer job and stand out from the competition<\/li>\n<li>You don\u2019t know how to turn ML prototypes into complete ML services<\/li>\n<li>You want to go one step further in your ML career<\/li>\n<\/ul>\n<h3>Specificatoin of The Real-World Machine Learning Tutorial<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/realworldmachinelearning.carrd.co\/\" target=\"_blank\" rel=\"noopener\">Real World Machinelearning<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/pau-labarta-bajo\">Pau Labarta Bajo<\/a><\/li>\n<li>Language : English<\/li>\n<li>Level : All Levels<\/li>\n<li>Number of Course : 45<\/li>\n<li>Duration : 4 hours and 3 minutes<\/li>\n<\/ul>\n<h3>Content of The Real-World Machine Learning Tutorial<\/h3>\n<p>1 Welcome<br \/>2 Development tools VSCode, Python Poetry and GitGitHub<br \/>3 Install VSCode and Python Poetry in your local machine<br \/>4 Create the Project Structure<br \/>5 Create local git repository<br \/>6 Create remote GitHub repository and connect it to the local one<br \/>7 Let\u2019s understand the business problem<br \/>8 Plot the training data<br \/>9 Our raw data source the NYC taxi website<br \/>10 Step 1. Fetch raw data and validate it<br \/>11 Step 2. Transform raw validated data into time-series data<br \/>12 Plot the time-series data<br \/>13 Step 3. Transform time-series data into training data<br \/>14 Steps 1, 2 and 3. From raw data to training data + Code re-factoring!<br \/>15 Plot the training data (2)<br \/>16 How do you build a Supervised Machine Learning model<br \/>17 Split the dataset into training and test datasets<br \/>18 Baseline model 1<br \/>19 Baseline model 2<br \/>20 Baseline model 3<br \/>21 XGBoost model<br \/>22 LightGBM model<br \/>23 LightGBM + Feature engineering<br \/>24 LightGBM + Feature engineering + Hyper-parameter tuning<br \/>25 Batch-scoring ML service with a Feature Store<br \/>26 What is a Feature Store<br \/>27 Create a Serverless Feature Store with Hopsworks<br \/>28 Backfill Feature Store with Historical Data<br \/>29 Build the Feature Pipeline<br \/>30 Automate the execution of the Feature Pipeline using a GitHub action<br \/>31 Build the Model Training Pipeline<br \/>32 ML Frontend app using Streamlit<br \/>33 Inference functions<br \/>34 Build the Streamlit app \u2013 Part 1 inference code<br \/>35 Build the Streamlit app \u2013 Part 2 build the UI<br \/>36 Deploy the Streamlit app to Streamlit Cloud<br \/>37 Our plan<br \/>38 Create an inference pipeline to generate and store predictions in the store<br \/>39 The new (and way simpler) frontend Streamlit app \u2013 frontend.py<br \/>40 Create a monitoring dashboard with Streamlit<br \/>41 Deploy the monitoring dashboard to Streamlit Cloud<br \/>42 Why model re-training<br \/>43 Implementation<br \/>44 Karthikeya<br \/>45 Karthikeya<\/p>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1007382\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/09\/The-Real-World-ML-Tutorial.d.jpeg\" alt=\"The Real-World ML Tutorial\" width=\"1246\" height=\"337\"><\/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-176272-1\"><video class=\"wp-video-shortcode\" id=\"video-176272-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/The_Real-World_ML_Tutorial_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/The_Real-World_ML_Tutorial_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/The_Real-World_ML_Tutorial_Downloadly.ir.mp4?nocache=1786142898122\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/The_Real-World_ML_Tutorial_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 : Not Available<\/p>\n<p>Quality: 1080p<\/p>\n<h3>Download Links<\/h3>\n<p><strong>Downloadly<\/strong><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Real_World_Machinelearning_The_Real-World_ML_Tutorial_2025-9_Downloadly.ir.rar?nocache=1786142896\">Download Course \u2013 611 MB<\/a><\/p>\n<p><strong>Rapidgator<\/strong><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/7e9e4ac78e2d36e9fdc8a995516f8ec9\/Real_World_Machinelearning_The_Real-World_ML_Tutorial_2025-9_Downloadly.ir.rar.html\">Download Course \u2013 611 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>611 MB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions The Real-World Machine Learning Tutorial, Build a real-world ML system from A to Z. Learn how to design, develop, and deploy end-to-end ML products<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[101123,101124,101125,101126,101127,101128,101129,101130,101131],"class_list":["post-12226","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-download-the-real-world-ml-tutorial","dgi_tag-free-download-the-real-world-ml-tutorial","dgi_tag-free-the-real-world-ml-tutorial","dgi_tag-pau-labarta-bajo","dgi_tag-real-world-machinelearning-the-real-world-ml-tutorial","dgi_tag-the-real-world-ml-tutorial","dgi_tag-the-real-world-ml-tutorial-download","dgi_tag-the-real-world-ml-tutorial-free","dgi_tag-the-real-world-ml-tutorial-free-download"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/12226","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\/12226\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=12226"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=12226"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=12226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}