geoffreykimani / fakenewsmodel-data-flair-

A model written to detect fake news from real ones. The full example can be found here(https://data-flair.training/blogs/advanced-python-project-detecting-fake-news/)

Fake News Classifier

Many users end up in a filter bubble on online media platforms with all sorts of news roaming the space. This project uses TfidfVectorizer and Passive Aggressive Classifier to detect fake news.

Setting Up The Project.

Install from github repo.

git clone https://github.com/jeffkim207/FakeNewsModel-Data-Flair-.git

Check for python in your system.

Python and pip are required. Check if they are installed by running;

sudo python --version
sudo pip --version

If not this can be resolved by running;

sudo apt-getupdate
sudo apt-get -y install python3python-pip python-dev

Jupyter NoteBook

If you don't have jupyter notebook follow the steps below to install

sudo -H pip install jupyter

Start your notebook by writing this command:

sudo jupyter notebook

Any errors of root access can be resolved by:

sudo jupyter notebook --allow-root

Running the notebook

Run the following command to install required libraries:

sudo pip install numpy pandas sklearn

If you are using a virtual environmnent you can create a kernel by running the following command:

ipython kernel install --user --name <<name_of_venv>> --display-name="<<name to display in jupyter kernel>>"

The angle brackets are holders of your specific variable/names.