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【ML】Libraries in python

【ML】Libraries in python

作者: 盐果儿 | 来源:发表于2022-02-13 23:08 被阅读0次

NumPy: It is a Python library used for working with arrays. It also has functions for working in the domain of linear algebra, Fourier transform, and matrices.

Scikit-learn (Sklearn): It is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering, and dimensionality reduction via a consistent interface in Python.

Pandas: It is mainly used for data analysis. Pandas allows importing data from various file formats such as comma-separated-values, JSON, SQL database tables or queries, and Microsoft Excel.

Matplotlib: It is a cross-platform, data visualization and graphical plotting library for Python and its numerical extension NumPy. As such, it offers a viable open-source alternative to MATLAB. Developers can also use matplotlib's APIs (Application Programming Interfaces) to embed plots in GUI applications.

Jupyter: The Jupyter Notebook is an open-source web application thatallowsdata scientists to create and share documents that integrate live code,equations, computational output, visualizations, and other multimediaresources, along with explanatory text in a single document.

Tensorflow

PyTorch

Keras

SKLearn

numpy

matplotlib

pandas

Concat

Stochastic gradient descent

multi-layer perceptron

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