{"id":4834,"date":"2026-08-10T09:17:06","date_gmt":"2026-08-10T09:17:06","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/projectpro-build-a-logistic-regression-model-in-python-from-scratch-2024-8\/"},"modified":"2026-08-10T09:17:06","modified_gmt":"2026-08-10T09:17:06","slug":"projectpro-build-a-logistic-regression-model-in-python-from-scratch-2024-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/projectpro-build-a-logistic-regression-model-in-python-from-scratch-2024-8\/","title":{"rendered":"Projectpro \u2013 Build a Logistic Regression Model in Python from Scratch 2024-8"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\">Descriptions<\/h2>\n<p dir=\"ltr\">Build a Logistic Regression Model in Python from Scratch, Predicting a qualitative response for observation can be referred to as classifying that observation since it involves assigning the observation to a category or class. Classification forms the basis for Logistic Regression. Logistic Regression is a supervised algorithm used to predict a dependent variable that is categorical or discrete. Logistic regression models the data using the sigmoid function. Churned Customers are those who have decided to end their relationship with their existing company. In our case study, we will be working on a churn dataset. XYZ is a service-providing company that provides customers with a one-year subscription plan for their product. The company wants to know if the customers will renew the subscription for the coming year or not.<\/p>\n<h3 dir=\"ltr\">What you\u2019ll learn<\/h3>\n<ul dir=\"ltr\">\n<li>Understanding the basics of classification<\/li>\n<li>Introduction to Logistics regression<\/li>\n<li>Understanding the logit function<\/li>\n<li>Coefficients in logistics regression<\/li>\n<li>Concept of maximum log-likelihood<\/li>\n<li>Performance metrics like confusion metric, recall, accuracy, precision, f1-score, AUC, and ROC<\/li>\n<li>Importing the dataset and required libraries.<\/li>\n<li>Performing basic Exploratory Data Analysis (EDA).<\/li>\n<li>Using python libraries such as matplotlib and seaborn for data interpretation and advanced visualizations.<\/li>\n<\/ul>\n<h3 dir=\"ltr\">Specificatoin of Build a Logistic Regression Model in Python from Scratch<\/h3>\n<ul dir=\"ltr\">\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.projectpro.io\/project-use-case\/churn-analysis-logistic-regression\" 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 : 1 hours and 43 minutes<\/li>\n<\/ul>\n<h3 dir=\"ltr\">Content of Build a Logistic Regression Model in Python from Scratch<\/h3>\n<p dir=\"ltr\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-918756\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/08\/Build-a-Logistic-Regression-Model-in-Python-from-Scratch.c.jpeg\" alt=\"Build a Logistic Regression Model in Python from Scratch\" width=\"648\" height=\"2392\"><\/p>\n<h3 dir=\"ltr\">Requirements<\/h3>\n<ul dir=\"ltr\">\n<li>Language \u2013 Python<\/li>\n<li>Libraries \u2013 numpy, pandas, matplotlib, seaborn, sklearn, pickle, imblearn, statsmodel<\/li>\n<\/ul>\n<h3 dir=\"ltr\">Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-918757\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/08\/Build-a-Logistic-Regression-Model-in-Python-from-Scratch.d.jpeg\" alt=\"Build a Logistic Regression Model in Python from Scratch\" width=\"1057\" height=\"228\"><\/p>\n<h3 dir=\"ltr\">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-134335-1\"><video class=\"wp-video-shortcode\" id=\"video-134335-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Build_a_Logistic_Regression_Model_in_Python_from_Scratch_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Build_a_Logistic_Regression_Model_in_Python_from_Scratch_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Build_a_Logistic_Regression_Model_in_Python_from_Scratch_Downloadly.ir.mp4?nocache=1786102554693\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Build_a_Logistic_Regression_Model_in_Python_from_Scratch_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 dir=\"ltr\">Installation Guide<\/h3>\n<p dir=\"ltr\">Extract the files and watch with your favorite player<\/p>\n<p dir=\"ltr\">Subtitle : English<\/p>\n<p dir=\"ltr\">Quality: 1080p<\/p>\n<h3 dir=\"ltr\">Download Links<\/h3>\n<p dir=\"ltr\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Projectpro_Build_a_Logistic_Regression_Model_in_Python_from_Scratch_2024-8_Downloadly.ir.rar?nocache=1786102553\">Download \u2013 257 MB<\/a><\/p>\n<h5 dir=\"ltr\">Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3 dir=\"ltr\">File size<\/h3>\n<p dir=\"ltr\">257 MB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Build a Logistic Regression Model in Python from Scratch, Predicting a qualitative response for observation can be referred to as classifying that <\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[49951,49952,49953,49954,49955,49956,49957,48488,49958],"class_list":["post-4834","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-build-a-logistic-regression-model-in-python-from-scratch","dgi_tag-build-a-logistic-regression-model-in-python-from-scratch-download","dgi_tag-build-a-logistic-regression-model-in-python-from-scratch-free","dgi_tag-build-a-logistic-regression-model-in-python-from-scratch-free-download","dgi_tag-download-build-a-logistic-regression-model-in-python-from-scratch","dgi_tag-free-build-a-logistic-regression-model-in-python-from-scratch","dgi_tag-free-download-build-a-logistic-regression-model-in-python-from-scratch","dgi_tag-projectpro","dgi_tag-projectpro-build-a-logistic-regression-model-in-python-from-scratch"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/4834","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\/4834\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=4834"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=4834"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=4834"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}