Published August 30, 2021
| Version v1
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An Optimized way to Solve Regression Problems
- 1. Pursuing, BTech, Department of Computer Science and Engineering, Gitam university vishakapatnam, Andhra Pradesh
- 2. Pursuing, Bachelors of Technology, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu
- 3. Pursuing, Bachelors of Technology, Department of Computer Science and Engineering, Gitam Institute of Technology, Visakhapatnam, Andhra Pradesh
Contributors
- 1. Publisher
Description
In many real world scenarios, regression is a commonly used technique to predict continuous variables. In case of noisy(inconsistent) and incomplete datasets, a large number of previous works adopted complex non traditional machine learning approaches in order to get accurate predictions. However, compromising on time and space overheads. In this paper, we work with complex data yet by using traditional machine learning regression algorithms by working on data cleaning and data transformation according to the working principle of those machine learning algorithms.
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- Journal article: 2249-8958 (ISSN)
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- ISSN
- 2249-8958
- Retrieval Number
- 100.1/ijeat.E28730610521