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.
• Real life Project.
• Huge amount of population can use this system.
• Implementing machine learning using pandas, NumPy, sklearn module.
• Gaining new experiences.
• load dataset.
• Spilt dataset into manual testing and train.
• Concate manual testing and traing dataset.
• Text convert into vectors.
• Model implementation With Accuracy.
• Logistic Regression
• Decision Tree Classification
• Random Forest Classifier
• Failed to load file
• Dataset failed to load
• Some little bugs on Scikit learn module
IDE : GoogleColab
Language: Python 3.9
• Dataset Collect
Kaggle