{"id":2474,"date":"2026-08-10T08:56:43","date_gmt":"2026-08-10T08:56:43","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-python-data-science-classification-modeling-2024-11\/"},"modified":"2026-08-10T08:56:43","modified_gmt":"2026-08-10T08:56:43","slug":"udemy-python-data-science-classification-modeling-2024-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-python-data-science-classification-modeling-2024-11\/","title":{"rendered":"Udemy \u2013 Python Data Science: Classification Modeling 2024-11"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Python Data Science: Classification Modeling course. Data Science Course in Python: Categorical Modeling. This is a hands-on, project-based course designed to help you master the basics of categorical modeling in Python. We\u2019ll start with an overview of data science workflows, discuss the primary goals and types of classification algorithms, and take an in-depth look at the classification modeling steps we\u2019ll use throughout the course. You will learn to perform exploratory data analysis, use feature engineering techniques such as scaling, dummy variables, and binning, and prepare data for modeling by splitting it into train, test, and validation datasets. From there, we adapt K-Nearest Neighbors and logistic regression models and develop intuition for interpreting their coefficients and evaluating their performance using tools such as confusion matrices and metrics such as accuracy, precision, and recall. We will also cover techniques for modeling unbalanced data, including thresholding, sampling methods such as oversampling and SMOTE, and adjusting class weights in the model\u2019s cost function. During the course, you will play the role of data scientist for the risk management department at Maven National Bank. Using the skills you learn throughout the course, you\u2019ll use Python to explore their data and build classification models to accurately determine which customers are high, medium, and low credit risk based on their profiles. Last but not least, you will learn to build and evaluate decision tree models for classification. You\u2019ll adapt, visualize, and fine-tune these models using Python, then apply your knowledge to more advanced ensemble models such as random forests and gradient-boosted machines. Summary of the course:<\/span><\/p>\n<div dir=\"ltr\" style=\"text-align: left\" data-purpose=\"safely-set-inner-html:description:description\">\n<ul>\n<li><span style=\"vertical-align: inherit\">An introduction to data science<\/span>\n<ul>\n<li><span style=\"vertical-align: inherit\">Introduce the fields of data science and machine learning, review essential skills, and introduce each step of the data science workflow.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"vertical-align: inherit\">Classification 101<\/span>\n<ul>\n<li><span style=\"vertical-align: inherit\">Review the basics of classification, including key terms, types and purposes of classification modeling, and modeling workflows.<\/span><\/li>\n<\/ul>\n<\/li>\n<li>Pre-Modeling Data Prep &amp; EDA\n<ul>\n<li><span style=\"vertical-align: inherit\">Review the data preparation and EDA steps required to perform modeling, including key techniques for target discovery, attributes, and relationships.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"vertical-align: inherit\">K-nearest neighbors<\/span>\n<ul>\n<li><span style=\"vertical-align: inherit\">Learn how the k-nearest neighbor (KNN) algorithm classifies data points and practice building KNN models in Python.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"vertical-align: inherit\">logistic regression<\/span>\n<ul>\n<li><span style=\"vertical-align: inherit\">Introduce logistic regression, learn the math behind the model, and practice fitting them and adjusting the regularization power.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"vertical-align: inherit\">Classification criteria<\/span>\n<ul>\n<li><span style=\"vertical-align: inherit\">Learn how and when to use several important metrics for evaluating classification models, such as precision, recall, F1 score, and ROC-AUC.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"vertical-align: inherit\">Unbalanced data<\/span>\n<ul>\n<li><span style=\"vertical-align: inherit\">Understand the challenges of modeling unbalanced data and learn strategies to improve model performance in these scenarios<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"vertical-align: inherit\">Decision trees<\/span>\n<ul>\n<li><span style=\"vertical-align: inherit\">Build and evaluate decision tree models, algorithms that look for partitions in your data that best separate your classes.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"vertical-align: inherit\">Group models<\/span>\n<ul>\n<li><span style=\"vertical-align: inherit\">Learn the basics of ensemble models, then move on to specific models like random forests and gradient boosted machines.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"vertical-align: inherit\">If you are an aspiring data scientist looking for an introduction to the world of classification modeling with Python, this course is for you.<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">What you will learn in Python Data Science: Classification Modeling course<\/span><\/h3>\n<div class=\"what-you-will-learn--content-spacing--6eP1j\" dir=\"ltr\" style=\"text-align: left\">\n<ul class=\"ud-unstyled-list ud-block-list what-you-will-learn--objectives-list--qsvE2 what-you-will-learn--objectives-list-two-column-layout--ED4as\">\n<li>\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\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Master the basics of supervised machine learning and classification modeling in Python<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\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\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Perform exploratory data analysis on model features and objectives<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\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\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Apply feature engineering techniques and divide the data into training, test, and validation sets<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\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\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Building and interpreting k-nearest neighbors and logistic regression models using scikit-learn<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\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\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Evaluate model performance using tools such as confusion matrices and metrics such as accuracy, precision, recall and F1<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\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\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Learn techniques for modeling unbalanced data, including thresholding, sampling methods, and adjusting class weights.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\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\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Build, tune, and evaluate decision tree models for classification, including advanced ensemble models such as random forests and gradient-boosted machines.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">This course is suitable for people who<\/span><\/h3>\n<ul class=\"styles--audience__list----YbP\" dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Data scientists who want to learn how to build and deploy supervised learning models in Python<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">BI analysts or experts looking to learn about classification modeling or move into a data science role<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Anyone interested in learning one of the most popular open source programming languages \u200b\u200bin the world<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Python Data Science: Classification Modeling course specifications<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/data-science-in-python-classification\/?couponCode=LETSLEARNNOWPP\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Teacher: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/maven-analytics\/\"><span style=\"vertical-align: inherit\">Maven Analytics<\/span><\/a><span style=\"vertical-align: inherit\"> , <\/span><a href=\"http:\/\/downloadly.ir\"><span style=\"vertical-align: inherit\">Chris Bruehl<\/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: 9 hours and 51 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of courses: 170<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<h2 dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-888783 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/03\/Data-Science-in-Python-Classification-Modeling-1.jpg\" alt=\"Data Science in Python: Classification Modeling\" width=\"888\" height=\"975\"><\/h2>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Prerequisites for the Python Data Science: Classification Modeling course<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\">We strongly recommend taking our Data Prep &amp; EDA and Regression courses before this one<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Jupyter Notebooks (free download, we\u2019ll walk through the install)<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Familiarity with base Python and Pandas is recommended, but not required<\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<p style=\"text-align: center\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-955051 aligncenter\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/03\/Python-Data-Science-Classification-Modeling.png\" alt=\"Python Data Science: Classification Modeling\" width=\"856\" height=\"298\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Sample video of the course<\/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-121062-1\"><video class=\"wp-video-shortcode\" id=\"video-121062-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_in_Python_Classification_Modeling_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_in_Python_Classification_Modeling_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_in_Python_Classification_Modeling_Downloadly.ir.mp4?nocache=1786095525299\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Data_Science_in_Python_Classification_Modeling_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 dir=\"ltr\" style=\"text-align: left\">\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\">Subtitle: English<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<p>Previous title:<\/p>\n<p>Data Science in Python: Classification Modeling<\/p>\n<p><strong>Changes:<\/strong><\/p>\n<p>Version 2024\/11 compared to the 2024\/1 has decreased by 2 lessons and 1 minutes in duration. English subtitles were also added to the course.<\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Python_Data_Science_Classification_Modeling_2024_11.part1_Downloadly.ir.rar?nocache=1786095523\"><span style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Python_Data_Science_Classification_Modeling_2024_11.part2_Downloadly.ir.rar?nocache=1786095523\"><span style=\"vertical-align: inherit\">Download Part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Python_Data_Science_Classification_Modeling_2024_11.part3_Downloadly.ir.rar?nocache=1786095523\"><span style=\"vertical-align: inherit\">Download Part 3 \u2013 231 MB<\/span><\/a><\/p>\n<h5 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/h5>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">2.23 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Python Data Science: Classification Modeling course. Data Science Course in Python: Categorical Modeling. This is a hands-on, project-based course d<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[24070,24071,24072,24073,24074,24075,24076,24077,24078,24079,24080,24081,24082,24083,24084,24085,24086,24087,24088,24089,24090,24091,24092,24093,24094,24095],"class_list":["post-2474","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-chris-bruehl","dgi_tag-course-data-science-in-python-classification-modeling","dgi_tag-data-science-in-python-classification-modeling-download-course","dgi_tag-data-science-in-python-classification-modeling-download-links","dgi_tag-data-science-in-python-classification-modeling-for-free","dgi_tag-data-science-in-python-classification-modeling-free-course","dgi_tag-data-science-in-python-classification-modeling-free-download","dgi_tag-download-course-data-science-in-python-classification-modeling","dgi_tag-download-data-science-in-python-classification-modeling","dgi_tag-download-data-science-in-python-classification-modeling-course","dgi_tag-download-data-science-in-python-classification-modeling-course-for-free","dgi_tag-download-link-data-science-in-python-classification-modeling","dgi_tag-download-links-data-science-in-python-classification-modeling","dgi_tag-download-paid-course-data-science-in-python-classification-modeling","dgi_tag-free-data-science-in-python-classification-modeling","dgi_tag-free-data-science-in-python-classification-modeling-download-course","dgi_tag-free-download-course-data-science-in-python-classification-modeling","dgi_tag-free-download-data-science-in-python-classification-modeling","dgi_tag-free-download-link-data-science-in-python-classification-modeling","dgi_tag-free-download-links-data-science-in-python-classification-modeling","dgi_tag-free-download-paid-course-data-science-in-python-classification-modeling","dgi_tag-free-links-download-data-science-in-python-classification-modeling","dgi_tag-free-paid-course-download-links-data-science-in-python-classification-modeling","dgi_tag-maven-analytics","dgi_tag-paid-course-data-science-in-python-classification-modeling","dgi_tag-python-data-science-classification-modeling"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/2474","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\/2474\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=2474"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=2474"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=2474"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}