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Additionally, its naturallanguageprocessing capabilities and Machine Learning frameworks like TensorFlow and scikit-learn make Python an all-in-one language for Data Science. Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount.
Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, NaturalLanguageProcessing , Statistics and Mathematics. It includes regression, classification, clustering, decisiontrees, and more. It can be easily ported to multiple platforms.
R’s machine learning capabilities allow for model training, evaluation, and deployment. · Text Mining and NaturalLanguageProcessing (NLP): R offers packages such as tm, quanteda, and text2vec that facilitate text mining and NLP tasks. Suppose you want to develop a classification model to predict customer churn.
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