Fake news on different platforms is spreading widely and is a matter of serious concern, as it causes social wars and permanent breakage of the bonds established among people. A lot of research is already going on focused on the classification of fake news. Here we will try to solve this issue with the help of machine learning in Python.
*Steps to be followed:
1.Importing Libraries and Datasets
2.Data Preprocessing
3.Preprocessing and analysis of News column
4.Converting text into Vectors
5.Model training, Evaluation, and Prediction
*Importing Libraries and Datasets
The libraries used are :
Pandas: For importing the dataset.
Seaborn/Matplotlib: For data visualization.