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Learning Data Mining with Python Second Edition by Robert Layton
Requirements: PDF Reader, 2.7 MB
Overview: Use a wide variety of Python libraries for practical data mining purposes.
Learn how to find, manipulate, analyze, and visualize data using Python.
Step-by-step instructions on data mining techniques with Python that have real-world applications.
Genre: Computers & Technology > Databases
This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK.
You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now.
Download Instructions:
(Closed Filehost) https://suprafiles.org/vhfxboo5u46c
(Closed Filehost) http://uploadocean.com/vfnvpu4duuoq
Requirements: PDF Reader, 2.7 MB
Overview: Use a wide variety of Python libraries for practical data mining purposes.
Learn how to find, manipulate, analyze, and visualize data using Python.
Step-by-step instructions on data mining techniques with Python that have real-world applications.
Genre: Computers & Technology > Databases
This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK.
You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now.
Download Instructions:
(Closed Filehost) https://suprafiles.org/vhfxboo5u46c
(Closed Filehost) http://uploadocean.com/vfnvpu4duuoq
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