Explore the forefront of Fake News Detection! This repo equips you with powerful tools and advanced algorithms to sift through digital noise, exposing misinformation. Join the quest for accuracy, transparency, and informed decisions. Let's shape a truth-driven future! 🌐🔍 #FakeNews #DataScience #OpenSource
Welcome to the Fake News Detection repository! This repository contains a dataset named "Data.csv," enriched with features suitable for supervised machine learning classification. The dataset is accompanied by implementations of seven powerful classification algorithms.
- SVM (Support Vector Machine)
- NB (Naive Bayes)
- KNN (K-Nearest Neighbors)
- GBC (Gradient Boosting Classifier)
- LR (Logistic Regression)
- RFC (Random Forest Classifier)
- DTC (Decision Tree Claasifier)
You can explore the dataset and leverage the provided algorithms for your Fake News Detection projects. Happy coding!
- Clone the repository:
git clone https://github.com/Tila173/FakeNewsDetection.git - Explore the dataset:
Data.csv - Implement classification: Check the individual algorithm implementations in the repository.
- Tila Muhammad