BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Calcutta
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20200628T063651Z
UID:60C75692-1D7A-4E24-828B-A002CFF33C77
DTSTART;TZID=Asia/Calcutta:20200626T140000
DTEND;TZID=Asia/Calcutta:20200626T160000
DESCRIPTION:- The speaker began the session with a small recap of functions
  in python.\n- Executed all the python programs in Jupyter Notebook and al
 so explained various types of errors that may occur while running the code
 .\n- The use of commands like linspace\, legend were also explained to hel
 p the students brush up the basics of python.\n- Concepts regarding the gr
 aphical representation of the data that is used in Machine Learning is exp
 lained clearly.\n- Plotting\, formatting and manipulating the data sets wa
 s taught to participants in real-time.\n- Packages like Pandas\, Scipy and
  Matplotlib were also discussed during the session.\n\nSpeaker(s): Mr B B 
 Shabarinath \, \n\nAgenda: \nThe session was planned in such a way that al
 l the various functions and third party packages in python that can be eff
 ectively used in Machine Learning could be explained in detail.\n\nReal-ti
 me execution of the code was planned with the help of any demonstration pl
 atform like spyder\, jupyter Notebook\, IDLE etc.\n\nHyderabad\, Andhra Pr
 adesh\, India
LOCATION:Hyderabad\, Andhra Pradesh\, India
ORGANIZER:tharunkumar@ieee.org
SEQUENCE:1
SUMMARY:Lecture on &quot;Python for Machine Learning-2&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/234108
X-ALT-DESC:Description: &lt;br /&gt;&lt;ul&gt;\n&lt;li&gt;The speaker began the session with 
 a small recap of functions in python.&lt;/li&gt;\n&lt;li&gt;Executed all the python pr
 ograms in Jupyter Notebook and also explained various types of errors that
  may occur while running the code.&lt;/li&gt;\n&lt;li&gt;The use of commands like lins
 pace\, legend were also explained to help the students brush up the basics
  of python.&lt;/li&gt;\n&lt;li&gt;Concepts regarding the graphical representation of t
 he data that is used in Machine Learning is explained clearly.&lt;/li&gt;\n&lt;li&gt;P
 lotting\, formatting and manipulating the data sets was taught to particip
 ants in real-time.&lt;/li&gt;\n&lt;li&gt;Packages like Pandas\, Scipy and Matplotlib w
 ere also discussed during the session.&lt;/li&gt;\n&lt;/ul&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br 
 /&gt;&lt;p style=&quot;margin: 0cm\; margin-bottom: .0001pt\; text-align: justify\;&quot;&gt;
 &lt;span style=&quot;font-size: 12pt\; color: #0e101a\;&quot;&gt;The session was planned i
 n such a way that all the various functions and third party packages in py
 thon that can be effectively used in Machine Learning could be explained i
 n detail.&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p style=&quot;margin: 0cm\; margin-bottom: .0001p
 t\;&quot;&gt;&lt;span style=&quot;font-size: 12pt\; color: #0e101a\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n
 &lt;p style=&quot;margin: 0cm\; margin-bottom: .0001pt\; text-align: justify\;&quot;&gt;&lt;s
 pan style=&quot;font-size: 12pt\; color: #0e101a\;&quot;&gt;Real-time execution of the 
 code was planned with the help of any demonstration platform like spyder\,
  jupyter Notebook\, IDLE etc.&lt;/span&gt;&lt;/p&gt;
END:VEVENT
END:VCALENDAR