The Virtual Machine Learning Laboratory with Visualization of Algorithms Execution Process

Kholoshnia, Vadim D.; Boldyreva, Elena A.

doi:10.1007/978-981-15-5584-8_19

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Experiments can be carried out without instructors thanks to their simplicity and userfriendliness. 4. Aids students in completing all experiments rapidly because all necessary resources and materials are readily available.…”

Section: Benefits Of V-labmentioning

confidence: 99%

“Lakshya” A Novel Virtual Laboratory based on Django framework to conduct experiments in the area of Machine Learning, Signal processing and Communication

Shivaprasad,

2023

Preprint

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Practical laboratories are essential for advancing students' professional aspirations because they allow them to learn by doing. The paper proposes creating a virtual lab(V-lab) to improve students' learning and observational skills and prepare them for the workplace. Excellent instructions on how to carry out experiments with legitimate client inputs are provided by V-lab. Students can perform experiments in the fields of machine learning, signal processing, and digital communication by visiting to the website https://lakshya.vcetputtur.ac.in. The intelligent webserver designed had been used frequently by third year Electronics and Communication students of VCET, Puttur to conduct Digital Signal Processing Laboratory and Advanced Communication Laboratory experiments. Final year undergraduate students pursuing projects in the area of ML found this website helpful, as it provided information about Classification report, Confusion matrix and Accuracy in one step. A Comparative study of various ML algorithms (Available in VLab) applied on Iris flower and Lung cancer dataset is provided in results and discussion section to justify the use of V-Lab in ML area. Results shows RBF based SVM classifier produced best accuracy when applied on iris flower dataset. Logistic regression classifier produced superior results compared to other ML algorithms when applied on lung cancer symptoms dataset. The website does not require sign-up credentials, free to use.

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Section: Benefits Of V-labmentioning

confidence: 99%

“Lakshya” A Novel Virtual Laboratory based on Django framework to conduct experiments in the area of Machine Learning, Signal processing and Communication

Shivaprasad,

2023

Preprint

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“…LaViCAD laboratory covered algorithms in the area of communication systems. Kholoshnia, V.D et al in [4] aimed at developing a virtual laboratory for teaching various machine learning algorithms with a visualization of the execution process. The student can independently build a map of the area in 2D and 3D, dynamically change it and trying different algorithms to find the shortest path.…”

Section: Literature Reviewmentioning

confidence: 99%

“Lakshya” A Novel Virtual Laboratory based on Django framework to conduct experiments in the area of Machine Learning, Signal processing and Communication

Shivaprasad,

2023

Preprint

View full text Add to dashboard Cite

Practical laboratories are essential for advancing students' professional aspirations because they allow them to learn by doing. The paper proposes creating a virtual lab(V-lab) to improve students' learning and observational skills and prepare them for the workplace. Excellent instructions on how to carry out experiments with legitimate client inputs are provided by V-lab. Students can perform experiments in the fields of machine learning, signal processing, and digital communication by visiting to the website https://lakshya.vcetputtur.ac.in. The intelligent web-server designed had been used frequently by third year Electronics and Communication students of VCET, Puttur to conduct Digital Signal Processing Laboratory and Advanced Communication Laboratory experiments. Final year undergraduate students pursuing projects in the area of ML found this website helpful, as it provided information about Classification report, Confusion matrix and Accuracy in one step. A Comparative study of various ML algorithms (Available in V-Lab) applied on Iris flower and Lung cancer dataset is provided in results and discussion section to justify the use of V-Lab in ML area. Results shows RBF based SVM classifier produced best accuracy when applied on iris flower dataset. Logistic regression classifier produced superior results compared to other ML algorithms when applied on lung cancer symptoms dataset. The website does not require sign-up credentials, free to use.

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Design and Development of a Virtual Laboratory Using the Python Web Framework Django to Carry Out Experiments in the Stream of ML, DSP, and Digital Communication

Shivaprasad,

Dinesha

2024

Communications in Computer and Information Science

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The Virtual Machine Learning Laboratory with Visualization of Algorithms Execution Process

Cited by 3 publications

References 6 publications

“Lakshya” A Novel Virtual Laboratory based on Django framework to conduct experiments in the area of Machine Learning, Signal processing and Communication

“Lakshya” A Novel Virtual Laboratory based on Django framework to conduct experiments in the area of Machine Learning, Signal processing and Communication

“Lakshya” A Novel Virtual Laboratory based on Django framework to conduct experiments in the area of Machine Learning, Signal processing and Communication

Design and Development of a Virtual Laboratory Using the Python Web Framework Django to Carry Out Experiments in the Stream of ML, DSP, and Digital Communication

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