Difference between revisions of "Fall 2024: Data Mining Lab"

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* As per DUCS guidelines [http://mkbhandari.com/mkwiki/data/fall2024/dm/DMGuideline.pdf  '''DSE: Data Mining''']
 
* As per DUCS guidelines [http://mkbhandari.com/mkwiki/data/fall2024/dm/DMGuideline.pdf  '''DSE: Data Mining''']
  
== '''Lab 0: Getting Started''' ( week of 04<sup>th</sup & 11<sup>th</sup >  August 2024 ) ==
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== '''Lab 0: Getting Started''' ( week of 04<sup>th</sup> & 11<sup>th</sup >  August 2024 ) ==
 
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Revision as of 10:45, 16 August 2024

Instructions

  • Please be on time to avoid the Attendance Penalty.
  • Please sign on the Attendance Register before your take a seat.
  • Please put your mobile phone in the Silent Mode.
  • Each lab assignment needs to be submitted in the Google Classroom for evaluation(will be notified in the GC lab-wise, submit before the deadline).
  • Turn off(shut down) your assigned computer and arrange the chair before you leave the lab.

Guidelines

Lab 0: Getting Started ( week of 04th & 11th August 2024 )

Q. NO. Program Practical No. Remarks
1 https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial1/tutorial1.html Practice Set No. 1
2 https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial2/tutorial2.html Practice Set No. 2

Lab 1: ( week of 12th August 2024 )

Q. NO. Program Practical No. Remarks
1 Apply data cleaning techniques on any dataset (e.g. Chronic Kidney Disease dataset from UCI repository). Techniques may include handling missing values, outliers and inconsistent values. Also, a set of validation rules may be specified for the particular dataset and validation checks performed. Practical No. 1