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UID:eventsphere-63752@www.knowafest.com
DTSTAMP:20261008T142607Z
DTSTART:20250509T183000Z
DTEND:20250510T182959Z
SUMMARY:Data Science Workshop 2025
LOCATION:Top Engineers\, Chennai
DESCRIPTION:<p>Overview to Data Science<br />\nIntroduction - Today’s pro
 blem statement<br />\nIce breaker session<br />\nData Collection (SQL)<br 
 />\nConnect to a simulated database<br />\nWrite SQL queries to pull data<
 br />\nJoin tables if needed<br />\nExport query results into CSV for Pyth
 on work<br />\nData Cleaning (Python - Pandas)<br />\nLoad CSV into Pandas
  DataFrame<br />\nHandle missing values\, data type issues<br />\nStandard
 ize column names<br />\nRemove duplicates or incorrect entries<br />\nExpl
 oratory Data Analysis (EDA)<br />\nDescriptive statistics (mean\, median\,
  counts)<br />\nData visualizations (matplotlib/seaborn)<br />\nIdentify p
 atterns and trends<br />\nDetect outliers<br />\nFeature Engineering<br />
 \nCreate new features<br />\nEncode categorical variables (label encoding\
 , one-hot)<br />\nNormalize or standardize features if needed<br />\nModel
  Building and Evaluation<br />\nSplit data into training and testing sets<
 br />\nBuild a Logistic/Linear Regression model<br />\nEvaluate using metr
 ics such as Accuracy\, Precision\, Recall\, Confusion Matrix\, RMSE etc<br
  />\nDiscuss ways to improve the model (more features\, better cleaning\, 
 different algorithms)<br />\nWrap-Up: Model Review + Discussion<br />\nRev
 iew everyone's model results<br />\nTalk about next steps (hyperparameter 
 tuning\, trying other models like Random Forests)<br />\nShare additional 
 learning resources<br />\nFeedback and Q&amp\;A<br />\n<br />\n**NOTE: LAP
 TOP IS MANDATORY\, SINCE HANDS-ON SESSIONS NEEDS PROGRAMMING</p>
URL:https://www.knowafest.com/data-science-workshop-2025-top-engineers
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