Open AccessAn Optimized way to Solve Regression Problems
Author(s) -
Jyothi Vishnu Vardhan Kolla,
Poorna Chandra Vemula,
Vanapala Sai Mohit
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e2873.0810621
Subject(s) - computer science , machine learning , regression , artificial intelligence , transformation (genetics) , regression analysis , data transformation , linear regression , space (punctuation) , data mining , mathematics , statistics , biochemistry , chemistry , gene , operating system , data warehouse
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.