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In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.

License: MIT License

Jupyter Notebook 100.00%
fake-news-dataset fake-news-detection model-training neural-networks python-notebook logistic-regression naive-bayes natural-language-processing random-forest svm

fakenews-classification's Introduction

Nikos Mavrapidis

Greetings! ๐Ÿ‘‹

I'm Nikos, a recent graduate with a Bachelor of Science in Informatics and Telecommunications from the National and Kapodistrian University of Athens. With a solid foundation in computer science and a special interest in software development and data analytics, I am actively exploring job opportunities where I can apply my skills in data-driven problem solving and contribute meaningfully to innovative projects.

๐Ÿ›  Tech Stack

Here are a few technologies I've been working with recently:

  • Programming Languages: Python, C, C++, JavaScript
  • Web Development: HTML, Node.js, React, Bootstrap
  • Databases: MySQL
  • AI & Machine Learning: TensorFlow, Keras
  • Data Analytics & Visualization: Tableau, RStudio

Check out my personal website for more details on my work.

๐Ÿค Collaboration

I'm open to collaborating on projects that are aimed at:

  • Data Analysis and Visualization
  • Machine Learning and AI
  • Software Development
  • Web Development

๐Ÿ“ˆ GitHub Stats

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๐Ÿ“ซ How to reach me:

Let's connect and build something amazing together.

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