Fake News Detection

Objective

The aim of this work is to create a system or model that can use the data of past news reports and predict the chances of a news report being fake or not.

Motivation

• Real life Project.

• Huge amount of population can use this system.

• Implementing machine learning using pandas, NumPy, sklearn module.

• Gaining new experiences.

Steps to perform for fake news detection

• load dataset.

• Spilt dataset into manual testing and train.

• Concate manual testing and traing dataset.

• Text convert into vectors.

• Model implementation With Accuracy.

Algorithm

• Logistic Regression

• Decision Tree Classification

• Random Forest Classifier

Data Visualization and demo

Accuracy

Challenges

• Failed to load file

• Dataset failed to load

• Some little bugs on Scikit learn module

Implemented tool

IDE : GoogleColab

Language: Python 3.9

• Dataset Collect

Kaggle