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Fake News Detection using Machine Learning I’m excited to share my graduation project: Fake News Detection 🎓 🔍 Project Overview In an age of misinformation, detecting fake news is more important than ever. This project leverages machine learning models (Gradient Boosting, XGBoost, SVM, etc.) and a Flask-based web interface to classify news articles as real or fake based on their content. 🧠 Key Features - End-to-end ML pipeline (data cleaning, TF-IDF vectorization, model training) - Evaluation of multiple classifiers - Simple web app for real-time article analysis - Open-source and easy to extend 🛠️ Tech Stack Python, Flask, HTML, Scikit-learn, Pandas, XGBoost 📁 Check out the GitHub repo:👉 github.com/Rodwanbagdadi/Fake_News_Detection I’d love to hear your thoughts, feedback, or suggestions. Feel free to fork, star ⭐, or contribute! #MachineLearning #FakeNewsDetection #NLP #FlaskApp #GraduationProject #AI #OpenSource #Python

Just finished the Alchemy Codex! Now, let's start the real fun! 😃

Hey everyone, I just completed a new course for you: "Data Science Accelerator". This course will be unlocked, together with "Building Applications with LLMs" at level 3. How to level up? Just interact with the group, get likes and comments, and watch your level go up!

The Evo 2 machine learning model enlists the power of AI in the fight against diseases. https://engineering.berkeley.edu/news/2025/06/cracking-the-code-of-life/