{"id":15823,"date":"2026-08-10T11:59:00","date_gmt":"2026-08-10T11:59:00","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/wiley-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python-2020\/"},"modified":"2026-08-10T11:59:00","modified_gmt":"2026-08-10T11:59:00","slug":"wiley-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python-2020","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/wiley-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python-2020\/","title":{"rendered":"Wiley \u2013 Data Mining for Business Analytics: Concepts, Techniques and Applications in Python 2020"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>Data Mining for Business Analytics: Concepts, Techniques and Applications in Python, Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration. Readers will learn how to implement a variety of popular data mining algorithms in Python to tackle business problems and opportunities. It is a comprehensive resource for students pursuing courses in data mining, business analytics, and related courses within the domain of AI.<\/p>\n<h3>Book features<\/h3>\n<ul>\n<li>Implement popular data mining algorithms in Python (regression, classification, trees, neural nets, clustering, association rules).<\/li>\n<li>Build end-to-end data mining workflows: data exploration, feature engineering, modeling, and evaluation.<\/li>\n<li>Apply dimension reduction and visualization techniques to summarize high-dimensional data.<\/li>\n<li>Evaluate predictive performance and avoid overfitting using appropriate validation and resampling methods.<\/li>\n<li>Use time series forecasting and smoothing methods for business forecasting tasks.<\/li>\n<li>Perform text mining and social network analytics using Python tools and libraries.<\/li>\n<li>Translate model outputs into actionable business insights and case-study solutions.<\/li>\n<\/ul>\n<h3>Who this Book is for<\/h3>\n<ul>\n<li>Students taking courses in data mining, business analytics, or related AI subjects.<\/li>\n<li>Aspiring and junior data analysts and data scientists who need practical Python modeling skills.<\/li>\n<li>Business analysts and managers seeking data-driven decision-making techniques.<\/li>\n<li>Software developers and engineers implementing analytics solutions in Python.<\/li>\n<li>Researchers and practitioners looking for an applied, example-driven resource.<\/li>\n<li>Anyone preparing for coursework or projects that require hands-on data mining with Python.<\/li>\n<\/ul>\n<h3>Specificatoin of Data Mining for Business Analytics: Concepts, Techniques and Applications in Python<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.wileyindia.com\/data-mining-for-business-analytics-concepts-techniques-and-applications-in-python-an-indian-adaptation.html\" target=\"_blank\" rel=\"noopener\">Wiley<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/galit-shmueli\">Galit Shmueli<\/a><\/li>\n<li>Language : English<\/li>\n<li>Level : All Levels<\/li>\n<li>Pages: 610<\/li>\n<li>Chapters: 21<\/li>\n<li>Format: PDF<\/li>\n<\/ul>\n<h3>Content of Data Mining for Business Analytics: Concepts, Techniques and Applications in Python<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1026096\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/12\/Data-Mining-for-Business-Analytics_-Concepts-Techniques-and-Applications-in-Python.c1-scaled.jpeg\" alt=\"Data Mining for Business Analytics_ Concepts, Techniques and Applications in Python\" width=\"516\" height=\"2560\"> <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1026097\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/12\/Data-Mining-for-Business-Analytics_-Concepts-Techniques-and-Applications-in-Python.c2-scaled.jpeg\" alt=\"Data Mining for Business Analytics_ Concepts, Techniques and Applications in Python\" width=\"516\" height=\"2560\"><\/p>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1026098\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/12\/Data-Mining-for-Business-Analytics_-Concepts-Techniques-and-Applications-in-Python.d.jpeg\" alt=\"Data Mining for Business Analytics_ Concepts, Techniques and Applications in Python\" width=\"918\" height=\"251\"><\/p>\n<h3>Installation Guide<\/h3>\n<p>Extract the files and Read with your favorite Software<\/p>\n<h3>Download Links<\/h3>\n<p><strong>Downloadly<\/strong><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Wiley_Data_Mining_for_Business_Analytics_Concepts_Techniques_and_Applications_in_Python_2020_Downloadly.ir.rar?nocache=1785940612\" target=\"_blank\" rel=\"noopener\">Download- 19 MB<\/a><\/p>\n<p><strong>Rapidgator<\/strong><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/081a29d7b9fb7acdfb73ee8d64145382\/Wiley_Data_Mining_for_Business_Analytics_Concepts_Techniques_and_Applications_in_Python_2020_Downloadly.ir.rar.html \" target=\"_blank\" rel=\"noopener\">Download- 19 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>19 MB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Data Mining for Business Analytics: Concepts, Techniques and Applications in Python, Data Mining for Business Analytics: Concepts, Techniques, and <\/p>\n","protected":false},"author":1,"template":"","dgi_category":[127485],"dgi_tag":[127619,127620,127621,127622,127623,127624,127625,127626,127627],"class_list":["post-15823","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-ebook","dgi_tag-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python","dgi_tag-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python-download","dgi_tag-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python-free","dgi_tag-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python-free-download","dgi_tag-download-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python","dgi_tag-free-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python","dgi_tag-free-download-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python","dgi_tag-galit-shmueli","dgi_tag-wiley-data-mining-for-business-analytics-concepts-techniques-and-applications-in-python"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/15823","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\/15823\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=15823"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=15823"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=15823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}