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Guidance to Data Mining in Python

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  • Aashish Mamgain

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.

Suggested Citation

  • Aashish Mamgain, 2018. "Guidance to Data Mining in Python," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(6), pages 596-601, August.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i6:id:hcseit1836128
    Note: Article URL: https://ijsrcseit.com/CSEIT1836128
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