H2O is an open-source platform designed for data analysis and machine learning. It excels in handling large datasets and offers high-performance capabilities, making it suitable for big data environments. H2O supports various machine learning algorithms, including generalized linear models, gradient boosting machines, and deep learning, enabling users to build and deploy predictive models efficiently.

NumPy, short for Numerical Python, is a foundational library for scientific computing in Python. It provides support for multidimensional arrays and matrices, along with a collection of mathematical functions to perform operations on these arrays efficiently. NumPy’s array object, ndarray, allows for fast and flexible handling of large datasets, making it an essential tool for numerical analysis and data manipulation.

Pandas is a powerful data manipulation and analysis library designed to make working with structured data intuitive and straightforward. It introduces two primary data structures: Series and DataFrame. A Series is essentially a one-dimensional labeled array, while a DataFrame is a two-dimensional labeled data structure, similar to a table in a database or a spreadsheet.

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H2o-Numpy-Pandas v3.46.0.5 on Ubuntu v20Anarion Technologies

H2o-Numpy-Pandas v3.46.0.5 on Ubuntu v20

Anarion Technologies

H2o-Numpy-Pandas v3.46.0.5 on Ubuntu v20

Anarion Technologies

H2o-Numpy-Pandas v3.46.0.5 on Ubuntu v20
Anarion Technologies