Featured Engineering on Heart disease dataset using ML
Abstract & Details
Research Area
Computer Engineering
Keywords
Machine Learning(ML)
Cardiovascular Disease Prediction
Feature Recommendation Engineering
Data Analysis
Data Filtering
Abstract
Featured engineering is the first and must step in any machine learning project. It can be simplified as a process of filtration of raw unusable, Uneven, hard to understand data into a well understandable format. Here when we receive data it is most;y scattered because it is formatted and entered by humans hence prone to error. so, This process will help in increasing our model impact and will increase the accuracy of results while evaluation.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Gopal Murlidhar Kholade | Anuradha Engineering Collage, Chikhli - 443201, India |
| 2 | Adarsh Vishnu Tayde | Anuradha Engineering Collage, Chikhli - 443201, India |
| 3 | Pramod T. Talole | Anuradha Engineering Collage, Chikhli - 443201, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kholade, Gopal Murlidhar, Tayde, Adarsh Vishnu, & Talole, Pramod T. (2022). Featured Engineering on Heart disease dataset using ML. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 815-818.
MLA Style
Kholade, Gopal Murlidhar, et al. "Featured Engineering on Heart disease dataset using ML." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 815-818.
IEEE Style
Gopal Murlidhar Kholade, Adarsh Vishnu Tayde, and Pramod T. Talole, "Featured Engineering on Heart disease dataset using ML," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 815-818, 2022.
Vancouver Style
Kholade Gopal Murlidhar, Tayde Adarsh Vishnu, Talole Pramod T.. Featured Engineering on Heart disease dataset using ML. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):815-818.
Harvard Style
Kholade, Gopal Murlidhar, Tayde, Adarsh Vishnu, & Talole, Pramod T. (2022) 'Featured Engineering on Heart disease dataset using ML', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 815-818.
Chicago Style
Kholade, Gopal Murlidhar, Adarsh Vishnu Tayde, and Pramod T. Talole. "Featured Engineering on Heart disease dataset using ML." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 815-818.
Turabian Style
Kholade, Gopal Murlidhar, Adarsh Vishnu Tayde, and Pramod T. Talole. "Featured Engineering on Heart disease dataset using ML." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 815-818.
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