YoVDO

Fake News Classifier with Machine Learning and NLP - Part 1

Offered By: Krish Naik via YouTube

Tags

Natural Language Processing (NLP) Courses Machine Learning Courses Text Classification Courses Bag of Words Courses

Course Description

Overview

Learn to build a fake news classifier using machine learning algorithms and Natural Language Processing in this 25-minute video tutorial. Explore techniques like Count Vectorizer and Bag of Words for text processing, and implement multinomial classification algorithms to detect disinformation in news outlets and social media. Gain hands-on experience with the provided GitHub repository and follow along with the first part of this practical NLP project.

Syllabus

Introduction
Data
Count Vectorizer
Bag of Words
Algorithms
Multinomial Classification


Taught by

Krish Naik

Related Courses

Applied Text Mining in Python
University of Michigan via Coursera
Natural Language Processing
Higher School of Economics via Coursera
Exploitez des données textuelles
CentraleSupélec via OpenClassrooms
Basic Sentiment Analysis with TensorFlow
Coursera Project Network via Coursera
Build Multilayer Perceptron Models with Keras
Coursera Project Network via Coursera