Fake News

Description
The purpose of this project is to analyze a Kaggle data set and to create a predictive model to label fake news.
Data
The Kaggle data provided by Clément Bisaillon.
EDA
A pandas-profiling report is available.
Code
All code is available in the following folder as Jupyter notebooks.
- Code with bias mitigation
- Accuracy Training using 6 months
- Accuracy Training using 1 year
- Original code
Documentation
Presentation
Instructions
To run this notebook locally, install Jupyter, download the data set, change the file location to load the code and data, and install all the library dependencies.
Try Anaconda.
Model Folders
Tools
- Python
- Jupyter Notebook
- Pandas-profiling
- Scikit-learn
- Pycaret
- Tableau
- MS PowerPoint
- Neattext