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AI, Machine Learning & Data ScienceUdemy2023-11 Edition100% Free Video Course

Detect Fake News with Machine Learning & Feature Engineering

Detect Fake News with Machine Learning & Feature Engineering is a training course on detecting fake news with machine learning and feature engineering, published by the online academy of Udemy. Identifying fake news has become a critical challenge in the age of information overload. Machine learning, along with feature engineering, can be a powerful tool in identifying deceptive content. Detecting fake news is an evolving challenge, and using machine learning with thoughtful feature engineering can significantly help build effective detection models. and get to know feature engineering so you can use them to identify fake news.This training course is a perfect combination of Python and Machine Learning. In this training course, you will learn how to analyze your news and data and then simulate them so that you can determine whether these news are fake or not. This training course is recommended for people who are interested in building a fake news detection system using feature engineering, logistic regression and machine learning, and people who are interested in detecting emotions and emotionalism in fake news using NLP. By completing this training course, you will have a high level of knowledge about machine learning and feature engineering, and you will be able to identify fake news using them.

23 Video Lessons
12.5 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
Detect Fake News with Machine Learning & Feature Engineering
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Free$129.99100% Free

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Course Features:
12.5 hours on-demand video
23 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

How to build a fake news detection model
Using feature engineering to predict real or fake news
Validation of news sources
Detecting emotion in fake news
Using logistic regression and NLP
And …

Course Curriculum23 Lectures

20 sections • 12.5 hours total length

Prefer offline learning? Download all 23 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

Detect Fake News with Machine Learning & Feature Engineering is a training course on detecting fake news with machine learning and feature engineering, published by the online academy of Udemy. Identifying fake news has become a critical challenge in the age of information overload. Machine learning, along with feature engineering, can be a powerful tool in identifying deceptive content. Detecting fake news is an evolving challenge, and using machine learning with thoughtful feature engineering can significantly help build effective detection models. and get to know feature engineering so you can use them to identify fake news.This training course is a perfect combination of Python and Machine Learning. In this training course, you will learn how to analyze your news and data and then simulate them so that you can determine whether these news are fake or not. This training course is recommended for people who are interested in building a fake news detection system using feature engineering, logistic regression and machine learning, and people who are interested in detecting emotions and emotionalism in fake news using NLP. By completing this training course, you will have a high level of knowledge about machine learning and feature engineering, and you will be able to identify fake news using them.

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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