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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20200924T121726Z
UID:B488279D-5200-4CF7-AD18-41EABB29A979
DTSTART;TZID=Asia/Kolkata:20200627T140000
DTEND;TZID=Asia/Kolkata: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): P. Anudeep\, \n\nAgenda: \nThi
 s session is a continuation of Pandas Library\, where the resource person 
 discussed in-depth about it\, in two use-cases. Topics like Data Analysis 
 of Excel (or CSV) sheets using Pandas\, Data Mining\, Data Cleansing\, and
  Data Visualization were briefly covered. The above topics were covered on
  Google Colab Notebooks.\n\nVirtual: https://events.vtools.ieee.org/m/2409
 18
LOCATION:Virtual: https://events.vtools.ieee.org/m/240918
ORGANIZER:Rajeshwari_I@ieee.org
SEQUENCE:0
SUMMARY:ML Webinar Series (3)- Python/Day 3
URL;VALUE=URI:https://events.vtools.ieee.org/m/240918
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&nbsp\;<em>.info()\, .dtypes\,</em>&nbsp\;and so on\, for D
 ata Mining.</li>\n<li>He also taught about Data Cleaning\, where topics li
 ke 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.</li>\n<li>Another use-case on Air Qual
 ity was discussed. Here\, Pivot Tables were covered\, performing Data Visu
 alization\, combining multiple tables using concatenation method\, and Sor
 ting Data based on certain criteria.</li>\n</ul><br /><br />Agenda: <br />
 <p>This session is a continuation of Pandas Library\, where the resource p
 erson discussed in-depth about it\, in two use-cases. Topics like Data Ana
 lysis of Excel (or CSV) sheets using Pandas\, Data Mining\, Data Cleansing
 \, and Data Visualization were briefly covered.&nbsp\;The above topics wer
 e covered on Google Colab Notebooks.</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>
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