BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20200924T114852Z
UID:D47CAD2F-2EB6-42A4-BE38-6F211F1ED0D9
DTSTART;TZID=Asia/Kolkata:20200630T140000
DTEND;TZID=Asia/Kolkata:20200630T160000
DESCRIPTION:- Mr. Anudeep started by giving the students a recap of what wa
 s already discussed in the previous classes and continued his class by int
 roducing us to regression.\n- He told us what regression was and the diffe
 rent ways it can be used.\n- He went on to explain the concept of Simple R
 egression and how to calculate it and the mathematics behind it.\n- He exp
 lained the concept of Residual Error and Squared Error and how to calculat
 e it.\n- He then explained the concept of Multiple Regression and when it
 ’s used.\n- He helped us understand the importance of using the correct 
 models for a given set of data.\n- He told us what Gradient Descent is and
  how to use it to minimize error in a model.\n- He explained how to use po
 lynomial regression for Non-Linear data and the concept of Logistic Regres
 sion.\n- He explained the definition of terms like Precision\, Recall\, an
 d Accuracy\, and how to calculate them.\n- He explained the different cate
 gories of Logistic Regression like Binomial\, Multinomial\, and Ordinal an
 d how to access Performance.\n- He explained the concepts of Feature Selec
 tion and Lasso Regression.\n- In the end\, he showed us some of the progra
 ms that he had and then opened the lecture to questions.\n\nSpeaker(s): Dr
 . Peddi Anudeep\, \n\nAgenda: \nThe goal of the lecture was to introduce t
 he concept of Regression and help the students understand it’s importanc
 e in the field of Machine Learning.\n\nHyderabad\, Andhra Pradesh\, India\
 , Virtual: https://events.vtools.ieee.org/m/240914
LOCATION:Hyderabad\, Andhra Pradesh\, India\, Virtual: https://events.vtool
 s.ieee.org/m/240914
ORGANIZER:Rajeshwari_I@ieee.org
SEQUENCE:2
SUMMARY:ML Webinar Series (4)-Regression
URL;VALUE=URI:https://events.vtools.ieee.org/m/240914
X-ALT-DESC:Description: &lt;br /&gt;&lt;ul&gt;\n&lt;li&gt;Mr. Anudeep started by giving the s
 tudents a recap of what was already discussed in the previous classes and 
 continued his class by introducing us to regression.&lt;/li&gt;\n&lt;li&gt;He told us 
 what regression was and the different ways it can be used.&lt;/li&gt;\n&lt;li&gt;He we
 nt on to explain the concept of Simple Regression and how to calculate it 
 and the mathematics behind it.&lt;/li&gt;\n&lt;li&gt;He explained the concept of Resid
 ual Error and Squared Error and how to calculate it.&lt;/li&gt;\n&lt;li&gt;He then exp
 lained the concept of Multiple Regression and when it&amp;rsquo\;s used.&lt;/li&gt;\
 n&lt;li&gt;He helped us understand the importance of using the correct models fo
 r a given set of data.&lt;/li&gt;\n&lt;li&gt;He told us what Gradient Descent is and h
 ow to use it to minimize error in a model.&lt;/li&gt;\n&lt;li&gt;He explained how to u
 se polynomial regression for Non-Linear data and the concept of Logistic R
 egression.&lt;/li&gt;\n&lt;li&gt;He explained the definition of terms like Precision\,
  Recall\, and Accuracy\, and how to calculate them.&lt;/li&gt;\n&lt;li&gt;He explained
  the different categories of Logistic Regression like Binomial\, Multinomi
 al\, and Ordinal and how to access Performance.&lt;/li&gt;\n&lt;li&gt;He explained the
  concepts of Feature Selection and Lasso Regression.&lt;/li&gt;\n&lt;li&gt;In the end\
 , he showed us some of the programs that he had and then opened the lectur
 e to questions.&lt;/li&gt;\n&lt;/ul&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;The goal of the le
 cture was to introduce the concept of Regression and help the students und
 erstand it&amp;rsquo\;s importance in the field of Machine Learning.&lt;/p&gt;
END:VEVENT
END:VCALENDAR