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
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END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20240325T211232Z
UID:3C849AE5-8BCA-4E33-81BA-AC2DF010E053
DTSTART;TZID=Asia/Kolkata:20240220T190000
DTEND;TZID=Asia/Kolkata:20240220T200000
DESCRIPTION:[]Day 2 started with a quick revision and then discussion of es
 sential Python libraries such as Pandas\, NumPy\, and Matplotlib. Hands-on
  experience using Kaggle datasets\, which helped gaining a better understa
 nding of these libraries. In addition\, discussion of real-world problem p
 roject that showcased how to use learned skills in solving real-world prob
 lems. One of the topic for discussion was solar weather and its estimated 
 data prediction using plotting and graphing. During session essential topi
 cs such as regression\, statistics were taken which helped to develop a de
 eper understanding of these concepts.\n\nSpeaker(s): Puneet Prashar\, \n\n
 Agenda: \nInitiative of organising workshop provided learner&#39;s with a comp
 rehensive understanding of the various tech stacks used in the industry.\n
 \nRoom: Lecture Hall 3\, Bldg: Academic Block 1\, Rajiv Gandhi Institute o
 f Petroleum Technology\, Jais\, Amethi\, Uttar Pradesh\, India\, 229305
LOCATION:Room: Lecture Hall 3\, Bldg: Academic Block 1\, Rajiv Gandhi Insti
 tute of Petroleum Technology\, Jais\, Amethi\, Uttar Pradesh\, India\, 229
 305
ORGANIZER:21EC3010@rgipt.ac.in
SEQUENCE:33
SUMMARY:Data Science Workshop Day 2
URL;VALUE=URI:https://events.vtools.ieee.org/m/414349
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;img style=&quot;float: right\;&quot; src=&quot;https://e
 vents.vtools.ieee.org/vtools_ui/media/display/01ad9e1f-a9de-4529-b5bf-95ed
 e9ceea0d&quot; alt=&quot;&quot; width=&quot;548&quot; height=&quot;474&quot;&gt;Day 2 started with a quick revis
 ion and then discussion of essential Python libraries such as &lt;strong&gt;Pand
 as\, NumPy\, &lt;/strong&gt;and&lt;strong&gt; Matplotlib&lt;/strong&gt;. Hands-on experience
  using Kaggle datasets\, which helped gaining a better understanding of th
 ese libraries. In addition\, discussion of real-world problem project that
  showcased how to use learned skills in solving real-world problems. One o
 f the topic for discussion was solar weather and its estimated data predic
 tion using plotting and graphing. During session essential topics such as 
 regression\, statistics were taken which helped to develop a deeper unders
 tanding of these concepts.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p
 &gt;Initiative of organising workshop provided learner&#39;s with a comprehensive
  understanding of the various tech stacks used in the industry.&lt;/p&gt;
END:VEVENT
END:VCALENDAR