The Triplet of Machine Learning Algorithms (Logistic Regression, SVM, Random Forest)

The Triplet of Machine Learning Algorithms (Logistic Regression, SVM, Random Forest)

Authors

  • Rohit Shinde
  • Pranav Rasankar
  • Kuldeep Yadav
  • Prof. Dr. Shantanu Kanade

Keywords:

Machine learning, Logistic Regression, SVM, Random Forest

Abstract

This article discusses machine learning algorithms, including the Support Vector Machine (SVM), Random Forest, and Logistic Regression. In our digital world, there are many different sorts of data, including Internet of Things (IoT) data, cyber security data, mobile data, corporate data, social media data, health data, and many others. It's crucial to master this data and acquire the necessary abilities and knowledge of technology, especially machine learning (ML). In order to grasp these algorithms and make the most of them, we also discuss their uses, comparisons, and applications.

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Additional Files

Published

30-05-2023

How to Cite

Rohit Shinde, Pranav Rasankar, Kuldeep Yadav, & Prof. Dr. Shantanu Kanade. (2023). The Triplet of Machine Learning Algorithms (Logistic Regression, SVM, Random Forest). Vidhyayana - An International Multidisciplinary Peer-Reviewed E-Journal - ISSN 2454-8596, 8(si7), 142–157. Retrieved from https://vidhyayanaejournal.org/journal/article/view/813
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