Fake News Detection

In this Project, I trained a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus.

I walked through following steps:

Counts of observations in each categorical bins:

Model Assesments:

1. Confusion Matrix

2. Accuracy, Precision, and Recall

Deployed Model:

For deploying our model on web (local server), we have used following resources:

1. Flask -  For developing web applications on local server.
2. PyCharm - For Integrated Development Environment (IDE)
3. Pickle - To serialize and deserialize objects in Python.
4. HTML & CSS - For front-end.