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Data Mining with Python (Practical) [1]

Paper Code: 
BAC 333
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This paper will be based on theory paper DAC 331. Students will be able to apply and practice the concepts of Data mining.

 

The practical covers the following topics:

  • Review of Python
  • Overview of Python tools for Data Analysis
  • Python has for data cleaning and processing -- pandas
  • Data exploration & analysis libraries for Data Science: Pandas, Numpy
  • Open-source software for mathematics, science, and engineering: SciPy
  • Data visualization/ plotting library: Matplotlib
  • Machine learning library: scikit-learn [2]
Academic Year: 
2019-2020 [3]

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Source URL: https://managementb.iisuniv.ac.in/courses/subjects/data-mining-python-practical

Links:
[1] https://managementb.iisuniv.ac.in/courses/subjects/data-mining-python-practical
[2] http://scikit-learn.org/stable/
[3] https://managementb.iisuniv.ac.in/academic-year/2019-2020