Guidance to Data Mining in Python

Authors(1) :-Aashish Mamgain

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 596-601
Manuscript Number : CSEIT1836128
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aashish Mamgain, "Guidance to Data Mining in Python", International 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.
Journal URL : http://ijsrcseit.com/CSEIT1836128

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