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In this data science project, I use Python as a model to assess if a news report is accurate or false. To carry out this, I created a TfidfVectorizer classifier and then used the PassiveAggressiveClassifier to identify the news into a ‘True’ and ‘False.’ There will be a 7796×4 shaped dataset, and all these will be executed in the JupyterLab.

License: MIT License

Python 21.09% Jupyter Notebook 56.97% CSS 21.95%

fake-news-detection's Introduction

MasterHead

Hi 👋, I'm Wendy Minai

Active Machine Learning & Deep Learning Expert in predictive analysis

I have vast experience working in Data Mining, Data Analysis, Data Visualization and Database Development areas.

🧑‍💻 When I'm not at work consulting or managing projects, you can often find me coding, learning new stuff, and honing my skills on various areas including ✳️ Machine Learning, ✳️ Data Science and ✳️ Data Visualization projects.

I also love working with different technologies & platforms and my current favorite ones are

  • ❤️ SQL Server / PostgreSQL / MySQL
  • ❤️ Python
  • ❤️ Tableau
  • ❤️ Power BI
  • ❤️ R-Programming
  • ❤️ Arena

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wendyminai

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wendy minai @wendyminai @wendy_minai wendy minai wendy minai wendy minai wendy minai wendy minai @wendy_minai @wendy_minai wendy minai wendy minai wendy minai @wendy_minai

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