Learn how to build fake news detection model using machine learning, feature engineering, logistic regression, and NLP
Sub Category
- Data Science
{inAds}
Objectives
- 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
Pre Requisites
- No previous experience in machine learning is required
- Basic knowledge in Python and statistics
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)