Detect Fake News with Machine Learning & Feature Engineering
Learn how to build fake news detection model using machine learning, feature engineering, logistic regression, and NLP
What you'll learn
- Learn how to build fake news detection model with feature engineering
- Learn how to build fake news detection model with logistic regression
- Learn how to build fake news detection model with Random Forest
- Case study: applying feature engineering to predict if a news title is real or fake
- Learn the basic fundamentals of fake news detection model
- Learn factors that contribute to the widespread of fake news & misinformation
- Learn how to perform news source credibility
- Learn how to detect keywords associated with fake news
- Learn how to perform news title and length analysis
- Learn how to detect sensationalism in fake news
- Learn how to detect emotion in fake new with NLP
- Learn how to evaluate fake news detection model with confusion matrix
- Learn how to perform fairness audit with demographic parity difference
- Learn how to mitigate potential bias in fake news detection
- Learn how to clean dataset by removing missing rows and duplicate values
- Learn how to find and download datasets from Kaggle
