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• Predictive Models: Predictive models are statistical models that are used to predict future events or behaviors based on historical data. These models use machine learning algorithms to analyze data and identify patterns that can be used to make predictions. ... Read More >>
• Node Classification: Node classification is a supervised learning task in which a model is trained to predict the class label of a node in a graph based on its features and the labels of its neighboring nodes. This task is commonly used in social network analys ... Read More >>
• Fairness: Fairness in data science refers to the absence of bias or discrimination in the data, algorithms, and models used in decision-making processes. It is important to ensure that the data used to train models is representative of the population ... Read More >>