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This article provides an informative overview of Data Analytics, covering various aspects such as the definition of Data Analytics, terminology related to data, types of data, and methods of data collection. The goal of this paper is to highlight the importance of data quality, and describe data processing and preprocessing tasks for both structured and unstructured data. A case study on student data is conducted to examine the data design architecture and optimize processing steps for quality datasets. The case study focuses on analyzing student performance using a machine learning regression model based on selected features from the existing dataset.

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Significance of Data Attribute Selection: Analyze Students Performance Using Optimal Features Machine Learning Regression Model

  • 会议论文

  • 发表日期：

    2026年

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  • Jayanti Mehra,
  • Akansha Sharma,
  • Neelu Singh

摘要

This article provides an informative overview of Data Analytics, covering various aspects such as the definition of Data Analytics, terminology related to data, types of data, and methods of data collection. The goal of this paper is to highlight the importance of data quality, and describe data processing and preprocessing tasks for both structured and unstructured data. A case study on student data is conducted to examine the data design architecture and optimize processing steps for quality datasets. The case study focuses on analyzing student performance using a machine learning regression model based on selected features from the existing dataset.