BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20261024T200046Z UID:C7010B07-D309-4AFA-8FE5-3FD2FAA17666 DTSTART;TZID=Etc/UTC:20260907T193000 DTEND;TZID=Etc/UTC:20260907T203000 DESCRIPTION:On September 7\, 2026\, at 7:30 PM\, the IEEE ENIS Industry App lications Society Chapter and the IEEE ENIS Computational Intelligence Soc iety Student Branch Chapter successfully co-hosted an online technical wor kshop titled "Machine Learning Foundations: Train Your First Model". Desig ned to bridge theoretical knowledge with practical engineering application \, the session brought together student members\, technology enthusiasts\, and aspiring data scientists across the region.\n\nThe event was led by M ohamed Amine Charfi\, a Technical Consultant at KPMG and former Chair of t he IEEE ENIS Student Branch. Drawing from both his industry expertise and his extensive background in student leadership\, the speaker delivered an engaging and structured presentation. The webinar covered fundamental mach ine learning concepts\, including core algorithms\, data preprocessing tec hniques\, model evaluation metrics\, and real-world industrial application scenarios. Attendees were guided step-by-step through a hands-on walkthro ugh on how to clean datasets\, configure parameters\, and train their very first machine learning model. The session concluded with an interactive Q &A segment\, where participants discussed industry trends\, career pathway s in technical consulting and AI\, and practical tips for executing studen t-led data science projects.\n\n[]\n\n[]\n\nVirtual: https://events.vtools .ieee.org/m/584735 LOCATION:Virtual: https://events.vtools.ieee.org/m/584735 ORGANIZER:maryoumamegdiche@gmail.com SEQUENCE:5 SUMMARY:Introduction to Machine Learning: From Theory to Practice URL;VALUE=URI:https://events.vtools.ieee.org/m/584735 X-ALT-DESC:Description: <br /><table style="border-collapse: collapse\; wid th: 100%\; border-width: 0px\;" border="1"><colgroup><col style="width: 50 %\;"><col style="width: 50%\;"></colgroup>\n<tbody>\n<tr>\n<td style="bord er-width: 0px\;">\n<p id="p-rc_4847830b4ae4f2c9-46" data-path-to-node="2\, 0"><span data-path-to-node="2\,0\,0">On September 7\, 2026\, at 7:30 PM\, the <strong data-path-to-node="2\,0\,0" data-index-in-node="120">IEEE ENIS Industry Applications Society Chapter</strong><strong data-path-to-node=" 2\,0\,0" data-index-in-node="38"> </strong>and the <strong data-path-to-no de="2\,0\,0" data-index-in-node="38">IEEE</strong> <strong data-path-to-no de="2\,0\,0" data-index-in-node="38">ENIS Computational Intelligence Socie ty Student Branch Chapter</strong>&nbsp\;successfully co-hosted an online technical workshop titled <strong data-path-to-node="2\,0\,0" data-index-i n-node="233">"Machine Learning Foundations: Train Your First Model"</stron g></span><span data-path-to-node="2\,0\,1"><!----><!----><!----><!----><!- ---><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---->< !----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!--- -><!----><!----><!----><sup class="superscript"><!----></sup><!----><!---- ><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!- ---><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----></span><span data-path-to-node="2\,0\,2">. Designed to bridge theoretical knowledge with practical engineering applic ation\, the session brought together student members\, technology enthusia sts\, and aspiring data scientists across the region.</span> <!----><!---- ><!----><!----><!----><!----><!----><!----><!----></p>\n<p id="p-rc_484783 0b4ae4f2c9-47" data-path-to-node="2\,1"><span data-path-to-node="2\,1\,0"> The event was led by <strong data-path-to-node="2\,1\,0" data-index-in-nod e="21">Mohamed Amine Charfi</strong>\, a Technical Consultant at KPMG and former Chair of the IEEE ENIS Student Branch</span><span data-path-to-node ="2\,1\,1"><!----><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---->< !----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!--- -><!----><!----><!----><!----><!----><!----><!----><!----><!----><sup clas s="superscript"><!----></sup><!----><!----><!----><!----><!----><!----><!- ---><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---->< /span><span data-path-to-node="2\,1\,2">. Drawing from both his industry e xpertise and his extensive background in student leadership\, the speaker delivered an engaging and structured presentation</span><span data-path-to -node="2\,1\,3"><!----><!----><!----><!----><!----><!----><!----><!----><! ----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---- ><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!- ---><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><sup class="superscript"><!----></sup><!----><!----><!----><!----><!----><!--- -><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><! ----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---- ><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!- ---></span><span data-path-to-node="2\,1\,4">. The webinar covered fundame ntal machine learning concepts\, including core algorithms\, data preproce ssing techniques\, model evaluation metrics\, and real-world industrial ap plication scenarios</span><span data-path-to-node="2\,1\,5"><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---->< !----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!--- -><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><! ----><!----><!----><!----><!----><!----><sup class="superscript"><!----></ sup><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---->< !----><!----><!----><!----><!----><!----><!----></span><span data-path-to- node="2\,1\,6">. Attendees were guided step-by-step through a hands-on wal kthrough on how to clean datasets\, configure parameters\, and train their very first machine learning model</span><span data-path-to-node="2\,1\,7" ><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!- ---><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---->< !----><!----><!----><!----><!----><!----><!----><!----><sup class="supersc ript"><!----></sup><!----><!----><!----><!----><!----><!----><!----><!---- ><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!- ---><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----></span><spa n data-path-to-node="2\,1\,8">. The session concluded with an interactive Q&amp\;A segment\, where participants discussed industry trends\, career p athways in technical consulting and AI\, and practical tips for executing student-led data science projects</span><span data-path-to-node="2\,1\,9"> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---->< !----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!--- -><!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><! ----><!----><!----><!----><!----><!----><!----><!----><sup class="superscr ipt"><!----></sup><!----><!----><!----><!----><!----><!----><!----><!----> <!----><!----><!----><!----><!----><!----><!----><!----><!----><!----><!-- --><!----><!----><!----><!----><!----><!----><!----><!----><!----><!---->< !----><!----><!----><!----><!----><!----><!----><!----><!----></span><span data-path-to-node="2\,1\,10">.</span></p>\n</td>\n<td style="border-width : 0px\;">\n<p><img src="https://events.vtools.ieee.org/vtools_ui/media/dis play/05367867-4703-4388-9f90-066dbba506e4" alt="" width="319" height="304" ></p>\n<p><img src="https://events.vtools.ieee.org/vtools_ui/media/display /398bea99-a5de-499c-ad42-86a643ff3978" alt="" width="318" height="303"></p >\n</td>\n</tr>\n</tbody>\n</table> END:VEVENT END:VCALENDAR