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This article mainly explains "what are the excellent python data mining tools". The content in the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn what excellent python data mining tools there are.

1 、 Genism

Genism is a library for text topic model, which is mainly used to deal with language tasks, such as text similarity calculation, LDA, Word2Vec and so on. Gensim supports a variety of topic model algorithms, including TF-IDF, LSA, LDA and Word2Vec, supports streaming training, and provides API interfaces for some common tasks, such as similarity calculation, information retrieval and so on.

2 、 TensorFlow

TensorFlow is an open source numerical computing framework of google, which uses data flow graph to build deep learning model flexibly. It has rich applications in graphics classification, audio processing, recommendation system and natural language processing, and is one of the most popular machine learning frameworks at present.

3 、 Scipy

Based on Numpy, Scipy is a special tool for crawlers, which has the functions of reading URL, parsing HTML, storing data, and can provide matrix support, as well as a large number of matrix-based numerical calculation modules, including: interpolation, linear algebra, image signals, fast Fourier transform, optimization processing, solving ordinary differential equations and so on.

4 、 Numpy

Numpy can provide array support, vector operations, and efficient processing of functions, linear algebra processing and so on. And Numpy includes Scipy, Matplotlib, Pandas and other libraries. It is faster than the python built-in list. Because the data processing speed of Numpy built-in functions is the same as that of C language, it is recommended to use built-in functions when using them.

5 、 Matplotlib

MatplotlibMatplotlib is a set of Python packages based on Numpy, which provides the required data drawing tools, mainly used to draw some statistical graphics. It is one of the easy to use data visualization tools, mainly used for two-dimensional mapping, need a few simple lines of code to generate all kinds of charts, such as histogram, bar chart, scatter chart and so on. 3D drawing is also supported, but it can only be relatively simple.

6 、 Pandas

Pandas is a necessary tool for python data mining, which should be familiar to many people. It originates from NumPy, provides good data reading and writing functions, supports additions, deletions, changes and queries, the data processing function is very powerful, and supports time series analysis, so it is very convenient to analyze and explore the data.

7 、 Scikit-Learn

Scikit-Learn is an excellent python library for machine learning, which can provide a complete learning toolbox for data processing, regression, classification, clustering, prediction, model analysis and other operations. The disadvantage is that there is no neural network, as well as deep learning and other models, but this is good, after all, it is very practical.

8 、 Keras

Keras is a python library that can help deep learning. It can build not only ordinary neural networks, but also various deep learning models, such as self-encoder, cyclic neural network, recurrent neural network, convolution neural network and so on. And it runs very fast, the steps are simplified, the degree of customization is high, and it can easily build a deep neural network with hundreds of input nodes.

Thank you for your reading, the above is the content of "what are the excellent python data mining tools". After the study of this article, I believe you have a deeper understanding of what excellent python data mining tools there are, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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