{"id":12479,"date":"2024-11-09T10:20:57","date_gmt":"2024-11-09T10:20:57","guid":{"rendered":"https:\/\/bvcoend.ac.in\/?page_id=12479"},"modified":"2024-11-09T10:20:57","modified_gmt":"2024-11-09T10:20:57","slug":"sdl-lab","status":"publish","type":"page","link":"https:\/\/bvcoend.ac.in\/index.php\/sdl-lab\/","title":{"rendered":"SDL Lab"},"content":{"rendered":"<h2><span style=\"color: #000000;\">Supervised and Deep Learning Lab<\/span><\/h2>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #000000;\"><strong>Subject Code- ML 463P<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Introduction<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">The lab focuses on key steps in supervised learning, including data preprocessing, feature selection, model training, evaluation, and tuning. By the end of the lab, participants will have a solid understanding of how to build, train, and optimize supervised learning models for various applications, from predicting outcomes to classifying data.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u00a0<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Objective of the Laboratory<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">To analyse basic concepts of probability and linear algebra<\/span><\/li>\n<li><span style=\"color: #000000;\">To understand various aspects of self-learning.<\/span><\/li>\n<li><span style=\"color: #000000;\">To introduce students to the fundamentals of Supervised Learning and Deep Learning techniques and algorithms.<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u00a0 Facilities<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u00a0\u00a0\u00a0 Software: Anaconda<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u00a0 People<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u00a0 \u00a0 Faculty Coordinator: Dr. Preeti<\/span><\/p>\n<p><span style=\"color: #000000;\">\u00a0 \u00a0 Lab Technician:\u00a0 Mrs. Yashoda Rani<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Supervised and Deep Learning Lab &nbsp; Subject Code- ML 463P Introduction The lab focuses on key steps in supervised learning, including data preprocessing, feature selection, model training, evaluation, and tuning. By the end of the lab, participants will have a solid understanding of how to build, train, and optimize supervised learning models for various applications,&hellip;<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/12479"}],"collection":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/comments?post=12479"}],"version-history":[{"count":1,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/12479\/revisions"}],"predecessor-version":[{"id":12480,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/12479\/revisions\/12480"}],"wp:attachment":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/media?parent=12479"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}