不同回归技术及其在机器学习中的应用综述

Anmol Kaur, Jaspreet Kaur, Maninder Kaur
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引用次数: 0

摘要

回归分析是一种事实方法的分类,它填补了在各种相互关联的元素之间的关联的绘图接受背后的解释。这种方法在生物科学、社会科学、复诊检查等各个研究领域都有广泛的应用。本研究论文的主要目的是发展事实回归技术的重要假设,并通过经济方面,人口统计学,素描和工程概念的各种模型的集合来证明这一假设。为了整合独立于各种见解的相关内容,包括基于变量和数值调查的数学。
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A Review on Different Regression Techniques and its applications used in Machine Learning
Regression Analysis is an assortment of factual methods that fill in as an explanation behind drawing acceptances about associations among the various interrelated elements. This technique is pretty much applicable in almost everywhere in study field which includes biological sciences, social studies and relapse examination. The main purpose of this research paper is to evolve the vital hypothesis for the factual Regression Technique and also to demonstrate the hypothesis with a collection of wide variety of various models looked over economical aspects, demography, sketching and engineering concepts. To assemble the relevant content which is independent from various insights, mathematics based on variable and numerical investigation is included.
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