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R for applications in data science

R for applications in data science

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R is extremely useful for data science because it is well-suited for applications in machine learning, data visualization, and statistics.

Supervised Learning

Supervised Learning

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Supervised learning is the aspect of machine learning that is concernd with models for prediction. These models are trained using data sets in which each observation is labeled with an outcome.

Unsupervised Learning

Unsupervised Learning

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Unsupervised learning is the aspect of machine learning that is concerned with approaches for learning from data where the outcomes are not available.