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What’s the difference between machine learning libraries in Python vs R?
Python’s libraries, like TensorFlow, PyTorch, and Scikit-learn, are more popular for deep learning and advanced machine learning models.
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4 Replies
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R is traditionally more focused on statistics and data visualization, with libraries like caret and ggplot2 being standout features.
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If you’re doing exploratory data analysis or statistical modeling, R has a more developed set of tools and built-in functionality.
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Python’s versatility makes it a better fit for end-to-end ML pipelines, from data collection and cleaning to model deployment.
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R is still widely used in academia and research, but Python is increasingly the default for production environments.
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