{"id":7832,"date":"2024-04-04T11:21:49","date_gmt":"2024-04-04T11:21:49","guid":{"rendered":"https:\/\/www.inspirenignite.com\/kl\/5279c-data-mining-practices-lab-syllabus-for-cloud-computing-big-data-6th-sem-2021-revision-sitttr-professional-elective-ii\/"},"modified":"2024-05-29T06:20:12","modified_gmt":"2024-05-29T06:20:12","slug":"5279c-data-mining-practices-lab-syllabus-for-cloud-computing-big-data-5th-sem-2021-revision-sitttr-professional-elective-ii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/kl\/5279c-data-mining-practices-lab-syllabus-for-cloud-computing-big-data-5th-sem-2021-revision-sitttr-professional-elective-ii\/","title":{"rendered":"5279C: Data Mining Practices Lab Syllabus for Cloud Computing &amp; Big Data 5th Sem 2021 Revision SITTTR (Professional Elective-II)"},"content":{"rendered":"<p align=\"justify\">Data Mining Practices Lab&#8217;s detailed syllabus for Cloud Computing &amp; Big Data (CC) for the 2021 revision curriculum has been taken from the <a class=\"rank-math-link\" style=\"color: inherit;\" href=\"http:\/\/www.sitttrkerala.ac.in\/\" target=\"_blank\" rel=\"noopener\">SITTTRs<\/a> official website and presented to the Cloud Computing &amp; Big Data (CC) students. For course code, course name, number of credits for a course and other scheme-related information visit the full semester subjects post below.<\/p>\n<p align=\"justify\">For the Cloud Computing &amp; Big Data 5th Sem scheme and its subjects, visit the <a class=\"rank-math-link\" href=\"..\/sitttr-diploma-cloud-computing-big-data-cc-syllabus-for-5th-sem-2021-revision\">Cloud Computing &amp; Big Data (CC) 5th Sem 2021 regulation scheme<\/a>. For the Professional Elective-II scheme and its subjects, refer to the <a class=\"rank-math-link\" href=\"..\/sitttr-cloud-computing-big-data-5th-sem-professional-elective-ii-syllabus-2021-revision\">Cloud Computing &amp; Big Data (CC) Professional Elective-II syllabus scheme<\/a>. The detailed syllabus of the data mining practices lab is as follows.<\/p>\n<h4>Course Objectives:<\/h4>\n<ul>\n<li>Understand data and data preprocessing<\/li>\n<li>Gain knowledge about data mining techniques<\/li>\n<\/ul>\n<h4>Course Outcomes:<\/h4>\n<p>On completion of the course, students will be able to:<\/p>\n<ol>\n<li>Implement Matrix operations and linear algebra on matrices using python<\/li>\n<li>Practice loading and Preprocessing data using python<\/li>\n<li>Demonstrate Visualization of data using python<\/li>\n<li>Use data mining in Python<\/li>\n<\/ol>\n<h4>Module 1:<\/h4>\n<ol>\n<li>Implement multi-dimensional arrays and find its shape and dimension<\/li>\n<li>Reshape and flatten data in the array<\/li>\n<li>Apply indexing and slicing on array<\/li>\n<li>Practice Dot and matrix product of two arrays<\/li>\n<li>Compute the multiplicative inverse of a matrix<\/li>\n<\/ol>\n<h4>Module 2:<\/h4>\n<ol>\n<li>Loading data from CSV file<\/li>\n<li>Compute the basic statistics of given data &#8211; shape, no. of columns, mean<\/li>\n<li>Practice Preprocessing techniques for missing data, redundancy, null value, and noisy data<\/li>\n<li>Splitting a data frame on values of categorical variables<\/li>\n<\/ol>\n<h4>Module 3:<\/h4>\n<ol>\n<li>Practice data split for training &amp; testing and visualize the data<\/li>\n<li>Perform various graphical representations of data- Line Plot, Scatter Plot, Box plot, Point plot, Count plot, Violin plot, Swarm plot, and Bar plot<\/li>\n<\/ol>\n<h4>Module 4:<\/h4>\n<ol>\n<li>Practice web scraping<\/li>\n<li>Open-ended projects- Design and develop Python programs to analyze social media data or e-commerce data<\/li>\n<\/ol>\n<h4>Text Books:<\/h4>\n<ol>\n<li>J. Han, M. Kamber, &#8220;Data Mining Concepts and Techniques&#8221;, Morgan Kaufmann.<\/li>\n<li>M. Kantardzic, &#8220;Data mining: Concepts, models, methods and algorithms, John Wiley &amp;Sons Inc.<\/li>\n<\/ol>\n<h4>Reference Books:<\/h4>\n<ol>\n<li>M. Dunham, &#8220;Data Mining: Introductory and Advanced Topics&#8221;, Pearson Education<\/li>\n<\/ol>\n<h4>Online Resources<\/h4>\n<ol>\n<li>https:\/\/www.dataquest.io\/blog\/sci-kit-learn-tutorial\/<\/li>\n<li>https:\/\/www.ibm.com\/support\/knowledgecenter\/en\/SS3RA7_sub\/modeler_tutorial_ ddita\/modeler_tuto rial_ddita-gentopic1.html<\/li>\n<li>https:\/\/archive.ics.uci.edu\/ml\/datasets.php<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all other Cloud Computing &amp; Big Data subjects, 2021 revision curriculum, visit <a class=\"rank-math-link\" href=\"..\/category\/sitttr\/cc\">Cloud Computing &amp; Big Data (CC) 5th Sem subject syllabuses for 2021 revision<\/a>.<\/p>\n<p align=\"justify\">To see the syllabus of all other branches of the diploma 2021 revision curriculum, visit the <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-syllabus\/\">SITTTR diploma all branches syllabus.<\/a>.<\/p>\n<p align=\"justify\">To see the results of Cloud Computing &amp; Big Data of diploma 2021 revision curriculum, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-results\/\"> SITTTR diploma results.<\/a>.<\/p>\n<p align=\"justify\">For all Cloud Computing &amp; Big Data academic calendars, visit the <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-academic-calendar\/\">Cloud Computing &amp; Big Data all semesters academic calendar<\/a> direct link.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Mining Practices Lab&#8217;s detailed syllabus for Cloud Computing &amp; Big Data (CC) for the 2021 revision curriculum has been taken from the SITTTRs official website and presented to the [&hellip;]<\/p>\n","protected":false},"author":2462,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[73],"tags":[],"class_list":["post-7832","post","type-post","status-publish","format-standard","hentry","category-cc"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/7832","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/users\/2462"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/comments?post=7832"}],"version-history":[{"count":1,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/7832\/revisions"}],"predecessor-version":[{"id":8500,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/7832\/revisions\/8500"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/media?parent=7832"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/categories?post=7832"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/tags?post=7832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}