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• Cleaning: Cleaning refers to the process of identifying, correcting, or removing corrupt, inaccurate, or irrelevant data from a dataset. It is an essential step in the data preparation process, as it ensures that the data is accurate, consistent, and ... Read More >>
• Numerical Values: Numerical values are quantitative data that can be measured and expressed numerically. In data science, numerical values are used to represent various types of data such as continuous, discrete, and categorical data. Numerical values are es ... Read More >>
• Computational Tasks: Computational tasks refer to the problems or processes that can be solved or automated using computational methods. These tasks can range from simple calculations to complex data analysis and machine learning algorithms. In the context of d ... Read More >>