{"id":4622,"date":"2026-08-10T09:15:06","date_gmt":"2026-08-10T09:15:06","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/projectpro-linear-regression-model-project-in-python-for-beginners-part-1-2024-7\/"},"modified":"2026-08-10T09:15:06","modified_gmt":"2026-08-10T09:15:06","slug":"projectpro-linear-regression-model-project-in-python-for-beginners-part-1-2024-7","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/projectpro-linear-regression-model-project-in-python-for-beginners-part-1-2024-7\/","title":{"rendered":"Projectpro \u2013 Linear Regression Model Project in Python for Beginners Part 1 2024-7"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>Linear Regression Model Project in Python for Beginners Part 1, Regression is one of the foundational techniques in Machine Learning. Being one of the most well-understood algorithms, beginners always struggle to understand some fundamental terminology related to regression. In this series of projects, we try to give you basic ideas of underlying concepts with the help of practical examples. If you are starting your career or want to brush up on your knowledge of regression, this course is made up for you. This project begins by introducing some simple real-life examples for regression. From a brief introduction to most of the concepts used in regression to hands-on experience, this project will give you enough understanding to apply those in real-world problems. With the help of the background developed, you will code your regression model in python.<\/p>\n<p>This project starts with a real-life example for regression analysis, with an introduction to simple and multiple linear regression. Building the statistical foundation for the regression, it gives you a brief idea of the formula of regression. With this background, the first regression model in python is built. Going through the interpolation and extrapolation also explains errors in regression and Lurking variables. The point estimators of mean and variance and distributions of underlying parameters are also discussed. The coefficient of determination is also known, and R squared is briefly explained. The project ends with diagnostics and remedial measures for regression with a practical explanation.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul class=\"list-disc what-will-you-learn-list\">\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">What is Regression?<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">Types of Regression<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">What is Mean, Variance, and Standard Deviation?<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">Correlation and Causation<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">What are Observational and Experimental data?<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">Formula for Regression<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">Building a Simple Linear Regression model<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">Understanding Interpolation and Extrapolation<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">What are Lurking Variables?<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">Derivation for Least Square Estimates<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">The Gauss Markov Theorem<\/span><\/li>\n<li class=\"set-orange what-will-you-learn-list-item\"><span class=\"text-black\">Point estimators of Regression<\/span><\/li>\n<\/ul>\n<h3>Specificatoin of Linear Regression Model Project in Python for Beginners Part 1<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.projectpro.io\/project-use-case\/fundamentals-simple-linear-regression-python-beginners\" target=\"_blank\">Projectpro<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/projectpro\">Projectpro<\/a><\/li>\n<li>Language : English<\/li>\n<li>Level : All Levels<\/li>\n<li>Number of Course : 22<\/li>\n<li>Duration : 2 hours and 26 minutes<\/li>\n<\/ul>\n<h3>Content of Linear Regression Model Project in Python for Beginners Part 1<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-916357\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/07\/Linear-Regression-Model-Project-in-Python-for-Beginners-Part-1.c.jpeg\" alt=\"Linear Regression Model Project in Python for Beginners Part 1\" width=\"797\" height=\"2271\"><\/p>\n<h3>Requirements<\/h3>\n<ul>\n<li>Language: Python<\/li>\n<li>Libraries:&nbsp; pandas, statsmodel, seaborn, matplotlib, sklearn, scipy<\/li>\n<\/ul>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-916358\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/07\/Linear-Regression-Model-Project-in-Python-for-Beginners-Part-1.d.jpeg\" alt=\"Linear Regression Model Project in Python for Beginners Part 1\" width=\"959\" height=\"221\"><\/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-133194-1\"><video class=\"wp-video-shortcode\" id=\"video-133194-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Linear_Regression_Model_Project_in_Python_for_Beginners_Part_1_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Linear_Regression_Model_Project_in_Python_for_Beginners_Part_1_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Linear_Regression_Model_Project_in_Python_for_Beginners_Part_1_Downloadly.ir.mp4?nocache=1786101845433\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Linear_Regression_Model_Project_in_Python_for_Beginners_Part_1_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3>Installation Guide<\/h3>\n<p>Extract the files and watch with your favorite player<\/p>\n<p>Subtitle : English<\/p>\n<p>Quality: 1080p<\/p>\n<h3>Download Links<\/h3>\n<p><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Projectpro_Linear_Regression_Model_Project_in_Python_for_Beginners_Part_1_2024-7_Downloadly.ir.rar?nocache=1786101844\">Download \u2013 388 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>388 MB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Linear Regression Model Project in Python for Beginners Part 1, Regression is one of the foundational techniques in Machine Learning. 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