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• Data Lifecycle: Data Lifecycle refers to the stages that data goes through from its creation to its retirement. The stages include data creation, data storage, data processing, data analysis, data sharing, data archiving, and data destruction. The data lif ... Read More >>
• Data Scientists: Data Scientists are professionals who use their expertise in statistics and programming to extract insights and knowledge from data. They are responsible for collecting, cleaning, and analyzing large and complex datasets using various stati ... Read More >>
• Dimensionality Reduction Techniques: Dimensionality reduction techniques are methods used to reduce the number of features or variables in a dataset while retaining as much information as possible. These techniques are commonly used in data science and machine learning to addr ... Read More >>