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    How do scaling transformations affect distance-based algorithms?

    Asked on Sunday, Nov 09, 2025

    Scaling transformations are crucial in distance-based algorithms, such as k-nearest neighbors (KNN) and clustering methods like k-means, because these algorithms rely on distance calculations. If feat…

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    What’s the best method to evaluate clustering without labels?

    Asked on Saturday, Nov 08, 2025

    Evaluating clustering without labels typically involves using internal validation metrics that assess the quality of the clusters based on the data's inherent structure. One of the most common methods…

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    How do you design dashboards that help stakeholders trust model outputs?

    Asked on Friday, Nov 07, 2025

    Designing dashboards that enhance stakeholder trust in model outputs involves clear visualization, transparency in model performance, and actionable insights. It's essential to present data in an unde…

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    Why does regularization improve generalization performance in data science?

    Asked on Thursday, Nov 06, 2025

    Regularization improves generalization performance by adding a penalty to the model's complexity, which helps prevent overfitting to the training data. This is particularly useful in machine learning …

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