Basics of Natural Language Processing (NLP) | Build AI Fake News Detection Engine

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In this bootcamp, we are going to build a fully-functional AI Fake News Detector. By the end of this bootcamp, you will have a working model that you can customize and use in your project. The most important part of building an AI Fake News Detector is to have a solid workflow. We have used NLP to build a fully-functional Fake News Detector.\n\nLearn to Build AI Fake News Detector with a focus on: \n1. Fundamentals of NLP.\n2. Hands-on session to build an NLP based fake news detection engine. You will have a working Naive Bayes model at the end of the session.\n3. Learn how you can use kandi (pronounced like candy) to tap into millions of open-source assets to build your AI application.\n\nš—–š—¼š—ŗš—ŗš˜‚š—»š—¶š˜š˜† - š—–š—²š—æš˜š—¶š—³š—¶š—°š—®š˜š—¶š—¼š—» š—®š—»š—± š—„š—²š˜€š—¼š˜‚š—æš—°š—²š˜€\nEverything you need for today's Bootcamp can be found on our Community! š—–š—¹š—¶š—°š—ø š—µš—²š—æš—² š˜š—¼ š—®š—°š—°š—²š˜€š˜€ š˜š—µš—² š—æš—²š˜€š—¼š˜‚š—æš—°š—²š˜€ š—®š—»š—± š—®š—½š—½š—¹š˜† š—³š—¼š—æ š˜†š—¼š˜‚š—æ š—°š—²š—æš˜š—¶š—³š—¶š—°š—®š˜š—²š˜€ - https://community.openweaver.com/t/le...\n\nPlease ensure you sign up on the Community to https://community.openweaver.com/t/learn-how-to-detect-fake-news-from-news-articles-using-machine-learning-natural-language-processing-in-python/1510/1?utm_source=youtubeted access to our resources. š—–š—¹š—¶š—°š—ø š—µš—²š—æš—² š˜š—¼ š—·š—¼š—¶š—» š˜š—µš—² š—–š—¼š—ŗš—ŗš˜‚š—»š—¶š˜š˜† - \nhttps://community.openweaver.com/?utm...https://community.openweaver.com/?utm_source=youtube




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