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.

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What You'll Master in this Course
Course Curriculum23 Lectures
20 sections • 12.5 hours total length
Requirements
- Basic enthusiasm to learn and follow along with lessons
- A computer or mobile device with a modern internet connection
Description
Instructor
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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