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DTSTART;TZID=Canada/Eastern:20220514T180000
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DESCRIPTION:Cancer is one of the leading causes of death in the world. To t
 ackle this menace\, pathologists need a faster and better way to diagnose 
 their patients. This led the team to work on evaluating different machine 
 learning models to find out which model works best in accurately predictin
 g the level of cancer development in a patient. In the course of the proje
 ct\, we explored different features of our datasets with the help of visua
 lization tools like tableau and python data visualization libraries to ena
 ble us to see the relationship between each feature and the level of cance
 r in a patient. We also\, in the end\, evaluated the performance of each a
 lgorithm using python visualization tools to better understand which algor
 ithms performed the best.\n\nSpeaker(s): Rakesh Pattanayak\, \n\ntoronto\,
  Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/313212
LOCATION:toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.o
 rg/m/313212
ORGANIZER:reza.dibaj@ieee.org
SEQUENCE:1
SUMMARY:Visualization Techniques in Cancer Level Detection System – Stude
 nts’ Research in ML and DL at Durham College
URL;VALUE=URI:https://events.vtools.ieee.org/m/313212
X-ALT-DESC:Description: <br /><p>Cancer is one of the leading causes of dea
 th in the world. To tackle this menace\, pathologists need a faster and be
 tter way to diagnose their patients. This led the team to work on evaluati
 ng different machine learning models to find out which model works best in
  accurately predicting the level of cancer development in a patient. In th
 e course of the project\, we explored different features of our datasets w
 ith the help of visualization tools like tableau and python data visualiza
 tion libraries to enable us to see the relationship between each feature a
 nd the level of cancer in a patient. We also\, in the end\, evaluated the 
 performance of each algorithm using python visualization tools to better u
 nderstand which algorithms performed the best.</p>
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