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Fake News Prediction using Logistic Regression

Github

Date created

04th Oct 2022

 

Project Title

Fake News Prediction using Logistic Regression

 

Description

Logistic Regression is a regression approach used for predicting only two possible values.

For this project, we will be building a machine learning model to classify whether the news is Real or Fake through the News data. Our goal is to work through this notebook by collecting data, preprocessing it, splitting it into testing and training datasets, train the model and evaluate the accuracy of our model.

 

Files used

We used the following dataset available through the Kaggle to work on this project:

 

Credits

Thanks to Kaggle for teaching me ML sparkles heart sparkles