What are the popular libraries used in Data Science?
Answers
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Data Science is a field that relies heavily on libraries and frameworks to make the most out of the data. There are many popular libraries used in Data Science, including NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow.
NumPy is a library for performing complex mathematical operations on multidimensional arrays and matrices.
Pandas is a library for data manipulation that allows for easy handling and analysis of data.
Matplotlib is a data visualization library that enables the creation of high-quality charts, graphs, and plots.
Scikit-learn is a machine learning library that provides algorithms for classification, regression, clustering, and dimensionality reduction.
TensorFlow is a popular deep-learning library that allows for the creation of neural networks and other advanced machine-learning models.
By utilizing these libraries, Data Scientists can streamline their processes and make more accurate predictions and insights from their data.
