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This kit contains all the libraries and dependencies of Python and Machine Learning that were used to create a Fake-News-Detection-System by Scraping a Website.
Group Name 1
This group contains all the python and machine learning libraries that were used in order to make the fake news detection system.Libraries for data preprocessing, feature extraction and modelling, visualization and building a predictive classifier.
scikit-learnby scikit-learn
Python 52698 Version:1.2.0
scikit-learnby scikit-learn
Python 52698 Version:1.2.0 License: Permissive (BSD-3-Clause)
numpyby numpy
Python 22526 Version:1.24.1
numpyby numpy
Python 22526 Version:1.24.1 License: Permissive (BSD-3-Clause)
pandasby pandas-dev
Python 36688 Version:1.5.2
pandasby pandas-dev
Python 36688 Version:1.5.2 License: Permissive (BSD-3-Clause)
matplotlibby matplotlib
Python 16767 Version:3.6.2
matplotlibby matplotlib
Python 16767 Version:3.6.2 License: No License
seabornby mwaskom
Python 10246 Version:0.12.2
seabornby mwaskom
Python 10246 Version:0.12.2 License: Permissive (BSD-3-Clause)
Group Name 2
This group contains the github repo with solution submission and the notebook(ipynb file).
fake_news_challengeby rishawsingh
Jupyter Notebook 0 Version:Current
fake_news_challengeby rishawsingh
Jupyter Notebook 0 Version:Current License: No License
Group Name 3
This group contains library used for web scraping.
beautifulsoupby waylan
Python 138 Version:Current
beautifulsoupby waylan
Python 138 Version:Current License: Others (Non-SPDX)
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