Pandas and Numpy
Pandas and Numpy are fundamental Python libraries widely used in data science and machine learning. Pandas provides data structures and data analysis tools, while Numpy offers support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions.
How Pandas and Numpy are Used
In machine learning, Pandas is primarily used for data manipulation and preparation. It offers data structures like DataFrames, which make it easy to clean, analyze, and visualize data. Numpy is used for numerical computations. Its array processing capabilities are essential for implementing algorithms and working with data in machine learning.
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