Journal article Open Access

An Optimized way to Solve Regression Problems

Jyothi Vishnu Vardhan Kolla; Poorna Chandra Vemula; Vanapala Sai Mohit

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:contributor>Blue Eyes Intelligence Engineering  and Sciences Publication (BEIESP)</dc:contributor>
  <dc:creator>Jyothi Vishnu Vardhan Kolla</dc:creator>
  <dc:creator>Poorna Chandra Vemula</dc:creator>
  <dc:creator>Vanapala Sai Mohit</dc:creator>
  <dc: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.</dc:description>
  <dc:source>International Journal of Engineering and Advanced Technology (IJEAT 10(6) 61-65</dc:source>
  <dc:subject>Regression, Data processing, Noisy data, Random  sampling.</dc:subject>
  <dc:subject>Retrieval Number</dc:subject>
  <dc:title>An Optimized way to Solve Regression Problems</dc:title>
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