A Comprehensive Analysis to Image Classification: Understanding Techniques and Explore Data Preprocessing a Non-linear Approach

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Published: Jun 30, 2023
DOI: https://doi.org/10.52783/anvi.v26.i2.287
Keywords:
Orange, open-source, data mining, machine learning, graphical interface, data analysis, modeling, data visualization, preprocessing, predictive modeling, evaluation, Non-linear

Main Article Content

Reena Thakur, Tanuksha Jambhulkar, Abhijeet Gadbail, Aditya Charpe, Akash Gomkale, Harshal Bhujade

Abstract

Orange is a feature-rich open-source platform with a graphical user interface designed with data analysis and modeling in mind. Preprocessing, assessment, predictive modeling, and data visualization are just a few of the functions that this application offers. Its drag-and-drop interface allows users to create data analysis processes quickly and easily without requiring a lot of technical knowledge, making the process easy. Orange provides a wide range of machine learning techniques, from logistic regression and decision trees to support vector machines and neural networks. This wide range easily handles tasks including grouping, regression, and classification. Most notably, the tool promotes interaction with other libraries and tools, such Python and R, allowing users to pursue more complex modeling and data analysis projects. To put it briefly, Orange is a powerful tool that researchers, data scientists, and students may use to analyze and model data in an easy-to-use and effective manner. The goal of this investigation is to fully explore Orange's potential, which will make it a valuable tool in the fields of data science and machine learning.

Article Details

Issue
Vol. 26 No. 2 (2023)
Section
Articles
Author Biography

Reena Thakur, Tanuksha Jambhulkar, Abhijeet Gadbail, Aditya Charpe, Akash Gomkale, Harshal Bhujade

Reena Thakur1, Tanuksha Jambhulkar2, Abhijeet Gadbail3, Aditya Charpe4, Akash Gomkale5, Harshal  Bhujade6
1Department of Computer Science and Engineering, Jhulelal Institute of Technology
Nagpur, India
en19cs601002@medicaps.ac.in

2Department of Computer Science and Engineering, Jhulelal Institute of Technology
Nagpur, India
tanukshajambhulkar07@gmail.com

3Department of Computer Science and Engineering, Jhulelal Institute of Technology
Nagpur, India
gadbailabhijeet12@gmail.com

4Department of Computer Science and Engineering, Jhulelal Institute of Technology
Nagpur, India
adityacharpe70@gmail.com

5Department of Computer Science and Engineering, Jhulelal Institute of Technology
Nagpur, India
akashgomkale722@gmail.com

6Department of Computer Science and Engineering, Jhulelal Institute of Technology
Nagpur, India
harshalbhujade899@gmail.com

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