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Using Projects on Clustering and Linear Regression to Develop Basic Research Skills in Freshmen and Sophomore Undergraduate Students

机译:利用集群和线性回归项目在新生和二年级学院学生开发基础研究技能

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This paper presents the work of several freshmen and sophomore undergraduate students from California State University, Fullerton, who have been exposed to data science for the first time, over 5 weeks. The projects completed by the students are on linear regression and data clustering applied to various datasets available on the Internet. The students were able to search and choose their projects and datasets and complete the project in 5 weeks in May-June 2019.
机译:本文介绍了来自加州州立大学,富勒顿的几个新生和二年级学生的工作,他们第一次接触到数据科学,超过5周。 学生完成的项目是在Internet上可用的各种数据集的线性回归和数据群集。 学生们能够在2019年5月5日5周内搜索和选择他们的项目和数据集,并在5周内完成项目。

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