Detect Fake News with Machine Learning & Feature Engineering
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Detect Fake News with Machine Learning & Feature Engineering
Original price was: $34.99.$14.00Current price is: $14.00.
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Detect Fake News with Machine Learning & Feature Engineering
★★★★★
$34.99
in stock
Udemy.com
as of January 18, 2026 1:49 am
Learn how to build fake news detection model using machine learning, feature engineering, logistic regression, and NLP
Created by:
Christ Raharja
Ex Technology Risk Consultant, and E-commerce enthusiast
Ex Technology Risk Consultant, and E-commerce enthusiast
Rating:4.47 (16reviews)
3099students enrolled
What Will I 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
Requirements
- No previous experience in machine learning is required
- Basic knowledge in Python and statistics
Target audience
- People who are interested in building fake news detection system using feature engineering, logistic regression, and machine learning
- People who are interested in detecting emotion and and sensationalism in fake news using NLP
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