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The Top 10 Data Mining Jupyter Notebook Open Source Projects
Open source projects categorized as Data Mining Jupyter Notebook
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rasbt/python-machine-learning-book
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11,645
The "Python Machine Learning (1st edition)" book code repository and info resource
dependent packages
0
total releases
0
most recent commit
almost 4 years ago
r0f1/datascience
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3,955
Curated list of Python resources for data science.
dependent packages
0
total releases
0
most recent commit
over 2 years ago
alibaba/Alink
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3,461
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
dependent packages
0
total releases
0
most recent commit
over 2 years ago
zslucky/awesome-AI-books
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1,086
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
dependent packages
0
total releases
0
most recent commit
about 3 years ago
datawhalechina/team-learning-data-mining
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1,001
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
dependent packages
0
total releases
0
most recent commit
about 4 years ago
Yimeng-Zhang/feature-engineering-and-feature-selection
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798
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
dependent packages
0
total releases
0
most recent commit
almost 4 years ago
ipython-books/cookbook-2nd
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773
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
dependent packages
0
total releases
0
most recent commit
over 4 years ago
jphall663/interpretable_machine_learning_with_python
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629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
dependent packages
0
total releases
0
most recent commit
over 3 years ago
ipython-books/cookbook-2nd-code
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532
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
dependent packages
0
total releases
0
most recent commit
over 5 years ago
ashishpatel26/Amazing-Feature-Engineering
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485
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
dependent packages
0
total releases
0
most recent commit
almost 3 years ago
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