AI fake news detector helps detect fake news through binary classification techniques and helps build better experiences by controlling the flow of disinformation in politics, businesses, climate change, and more. It’s built on top of various powerful machine learning libraries. The tool works by training a neural network to spot fake articles based on their text content. Would you like to build your own fake news detector?
The answer is in this 60 min Virtual Lab using the kandi 1-click solution kit for AI Fake News detection engine. You will have a working model at the end of the session!
Complete this Virtual Lab in 3 easy steps to earn your certificate!
STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment and submit screenshots of your working model to receive your certificate.
NOTE: Your start date is the date you enrolled for this course. You have 90 days from your enrollment date to complete the course.
STEP 1 : TUTORIAL
Watch this self-guided tutorial on how you can use training data, NLP pipeline, TF-IDF vectorizer, and text classifier to build your own AI fake new detector.
STEP 2 : PRACTICAL EXERCISE
Click the below button to access the fake news detector kandi kit. This kit has all the required dependencies and resources you need to build your application.
Click on the 1-Click Installer button on the kandi kit page to install the fake news detector kit. On installing and running this kit, you will have a working model that you can customize and use in your project.
After completing this step, proceed to STEP 3.
STEP 3 : ASSESSMENT
Your assessment will be reviewed and you will receive a verified certificate via email within a week.
Reach out to us by replying below for any help you may need with this course.
We hope you enjoyed using kandi!