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Some people use python for machine learning, other people use R. What are the pros and cons of using Python compare to R for ML?

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Python is a much easier-to-understand language than R, and has exponentially more support from the community online. It also has powerful and well-supported ML/data libraries, including scikit-learn, NumPy and Pandas.

Pretty much any paradigm you're looking for in R — dataframes, graphic plotting, etc. — are available in Python. And you won't spend nearly as much time picking through arcane script with an un-Googleable name.

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