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PRODID:IEEE vTools.Events//EN
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TZID:Africa/Algiers
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DTSTART:19810501T010000
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DTSTAMP:20230626T194909Z
UID:E038853E-BC0A-48D0-A0D9-3483458DEA8D
DTSTART;TZID=Africa/Algiers:20230213T120000
DTEND;TZID=Africa/Algiers:20230216T190000
DESCRIPTION:Following the successful Machine Learning Bootcamp hosted by th
 e Computer Society chapter and Women in Engineering Affinity Group😍\, a
  thrilling internal competition "Tunisian House prices prediction" was org
 anized to further engage and challenge the attendees🤩. This competition
  took place on the Kaggle platform\, known for its dedication to fostering
  innovation and collaboration in the field of machine learning.\n\nOn the 
 last day of the competition\, the top five groups on the leaderboard were 
 selected based on their model's performance and submission results. These 
 five groups were then allowed to pitch their work in the amphitheater at S
 UP'COM\, showcasing their approaches\, methodologies\, and insights gained
  during the competition.\nAmong the participating groups\, the three teams
  that emerged as the top performers and secured the highest rankings 🔥w
 ere:\n\n*1st Group:\n\n-Mohamed Kaouech\n-Firas Bouzazi\n-Mohamed Arbi\n-A
 ngela Benfraj\n*2nd Group:\n\n-Aziz Korbi\n-Mohamed Ticha\n*3rd Group:\n\n
 -Mohamed Ali Mssadak\n-Youssef Abdelhedi\n\nSUP'COM\, Tunisia\, Ariana\, T
 unisia\, Virtual: https://events.vtools.ieee.org/m/365300
LOCATION:SUP'COM\, Tunisia\, Ariana\, Tunisia\, Virtual: https://events.vto
 ols.ieee.org/m/365300
ORGANIZER:aziz.boussarsar@ieee.org
SEQUENCE:87
SUMMARY:ML internal competition in collaboration with CS chapter
URL;VALUE=URI:https://events.vtools.ieee.org/m/365300
X-ALT-DESC:Description: <br /><p>Following the successful Machine Learning 
 Bootcamp hosted by the Computer Society chapter and Women in Engineering A
 ffinity Group😍\, a thrilling internal competition "Tunisian House price
 s prediction" was organized to further engage and challenge the attendees
 🤩. This competition took place on the Kaggle platform\, known for its d
 edication to fostering innovation and collaboration in the field of machin
 e learning.</p>\n<p>On the last day of the competition\, the top five grou
 ps on the leaderboard were selected based on their model's performance and
  submission results. These five groups were then allowed to pitch their wo
 rk in the amphitheater at SUP'COM\, showcasing their approaches\, methodol
 ogies\, and insights gained during the competition.<br />Among the partici
 pating groups\, the three teams that emerged as the top performers and sec
 ured the highest rankings 🔥were:</p>\n<p>*1st Group:</p>\n<p>-Mohamed K
 aouech<br />-Firas Bouzazi<br />-Mohamed Arbi<br />-Angela Benfraj<br />*2
 nd Group:</p>\n<p>-Aziz Korbi<br />-Mohamed Ticha<br />*3rd Group:</p>\n<p
 >-Mohamed Ali Mssadak<br />-Youssef Abdelhedi</p>\n<p>&nbsp\;</p>
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