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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
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BEGIN:VEVENT
DTSTAMP:20200628T115640Z
UID:8E926084-D6DA-4A4A-9B04-27645E9905F4
DTSTART;TZID=Asia/Calcutta:20200627T140000
DTEND;TZID=Asia/Calcutta:20200627T160000
DESCRIPTION:- Setting up the environment on Google Colab\, for using Pandas
  Library and choosing the right Hardware Accelerator\, as per needs.\n- Di
 scussion on Pandas and using it in Titanic Survival use-case. (Working on 
 Titanic dataset\; describing Name\, Age\, Cabin\, people survived etc.)\n-
  Since it is tedious to work on a large Excel Sheet (large Dataset)\, Pand
 as Library was used for Data Analysis\, to make life easier.\n- Creating d
 ataframes\, and performing operations like .info()\, .dtypes\, and so on\,
  for Data Mining.\n- He also taught about Data Cleaning\, where topics lik
 e Missing Values\, and using predefined methods to fill NaN values in the 
 given dataframe\, Dropping unnecessary columns\, Splitting\, and Grouping 
 of data based on certain criteria.\n- Another use-case on Air Quality was 
 discussed. Here\, Pivot Tables were covered\, performing Data Visualizatio
 n\, combining multiple tables using concatenation method\, and Sorting Dat
 a based on certain criteria.\n\nSpeaker(s): Mr P Anudeep\, \n\nAgenda: \nT
 his session is a continuation of Pandas Library\, where the resource perso
 n discussed in-depth about it\, in two use-cases. Topics like Data Analysi
 s of Excel (or CSV) sheets using Pandas\, Data Mining\, Data Cleaning\, an
 d Data Visualization were briefly covered.\n\nThe above topics were covere
 d on Google Colab Notebooks.\n\nHyderabad\, Andhra Pradesh\, India
LOCATION:Hyderabad\, Andhra Pradesh\, India
ORGANIZER:tharunkumar@ieee.org
SEQUENCE:0
SUMMARY:Lecture on "Python for Machine Learning-3"
URL;VALUE=URI:https://events.vtools.ieee.org/m/234236
X-ALT-DESC:Description: <br /><ul>\n<li>Setting up the environment on Googl
 e Colab\, for using Pandas Library and choosing the right Hardware Acceler
 ator\, as per needs.</li>\n<li>Discussion on Pandas and using it in Titani
 c Survival use-case. (Working on Titanic dataset\; describing Name\, Age\,
  Cabin\, people survived etc.)</li>\n<li>Since it is tedious to work on a 
 large Excel Sheet (large Dataset)\, Pandas Library was used for Data Analy
 sis\, to make life easier.</li>\n<li>Creating dataframes\, and performing 
 operations like <em>.info()\, .dtypes\,</em> and so on\, for Data Mining.<
 /li>\n<li>He also taught about Data Cleaning\, where topics like Missing V
 alues\, and using predefined methods to fill NaN values in the given dataf
 rame\, Dropping unnecessary columns\, Splitting\, and Grouping of data bas
 ed on certain criteria.</li>\n<li>Another use-case on Air Quality was disc
 ussed. Here\, Pivot Tables were covered\, performing Data Visualization\, 
 combining multiple tables using concatenation method\, and Sorting Data ba
 sed on certain criteria.</li>\n</ul><br /><br />Agenda: <br /><p>This sess
 ion is a continuation of Pandas Library\, where the resource person discus
 sed in-depth about it\, in two use-cases. Topics like Data Analysis of Exc
 el (or CSV) sheets using Pandas\, Data Mining\, Data Cleaning\, and Data V
 isualization were briefly covered.</p>\n<p>The above topics were covered o
 n Google Colab Notebooks.</p>
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END:VCALENDAR