kush1912/fake-news-detection

Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.

Hi there, this is Ajay 👋

Glad to see you here, let's begin!

I’m currently working at SunKing as Software Engineer Backend

I would define myself as a person having intense passion for problem solving and development rather than competitive coding. I have spared my fair share of time to be an impressive candidate in both the domains. I can work independently and have acquired a perfect blend of technical & soft skills with a desire and capability of showcasing leadership qualities. I believe that my ability to break down problems into first principles, strong moral values and tendency to stay with questions longer always helps me in finding the answers to the tougher questions.

I am always open to quality opportunities which provides me learning opportunities, be it in AI/ML, Data Sciene or Full Stack Development.

💬 Ask me about anything, will be more than happy to connect :)

Current Status: Learning ReactJs...

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fake-news-detection's Issues

problem in NYT data scrapping

It gives ServerSelectionTimeoutError: localhost:27017: [WinError 10061] No connection could be made because the target machine actively refused it.
How to resolved it??