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• Environmental Impact: Environmental Impact refers to the effect of human activities on the environment. In the context of Data Science, it refers to the impact of data-related activities on the environment. The increasing use of technology and data has led to a ... Read More >>
• Data Reduction: Data Reduction is the process of reducing the amount of data without losing its integrity and usefulness. It involves techniques such as data compression, feature selection, and feature extraction. Data compression is the process of reducin ... Read More >>
• Interpretability: Interpretability refers to the ability to explain or understand the reasoning behind a decision made by a machine learning model. It is an important aspect of machine learning, especially in fields where the decisions made by the model can ... Read More >>