Guidance to Data Mining in Python

Authors

  • Aashish Mamgain  CSE, HMR Institute of Technology and Management, New Delhi, India

Keywords:

Python, Data Mining, Classification, Random Forest, Support Vector Machine, Decision Tree, Logistic Regression

Abstract

Python has become top programming language in the field of data mining in recent years. Around 45% of data scientists are using python programming language for data mining. Python is ahead from other analytical tools such as R. Data mining is the technique in which large datasets is analyzed for generating predictive patterns, information. Data mining is used to detect various applications such as marketing, medical, telecommunications and so on. This paper presents classification algorithms such as Random Forest, Support Vector Machine, Decision Tree, Logistic Regression etc. This guide provides data mining classification techniques in python programming language.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-08-30

Issue

Volume 3, Issue 6, July-August-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Aashish Mamgain, " Guidance to Data Mining in Python, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.596-601, July-August-2018.