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@article{170565,
        author = {Prof P.S.Birajdar and Reshma Vijay Kokate and Pratibha Vishwanath  Mandkal and Priya Parshuram Sakat and Sonali Vishwanath Rathod and Pratiksha Santosh Murte},
        title = {Fake Profile Detection On Social Media},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {1281-1284},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170565},
        abstract = {In an age where social media has become an integral part of our lives, the challenge of detecting fake accounts on platforms like Instagram has gained significant importance. This project, titled "Instagram Fake Account Detection using Machine Learning," employs Python as its primary tool to tackle this problem. It leverages two powerful machine learning algorithms, the Random Forest Classifier and the Decision Tree Classifier, to accomplish this  task. , the Decision Tree Classifier exhibits its effectiveness with a training accuracy of 92% and a test accuracy of 92%.},
        keywords = {K Nearest Negibour, Logistic Regression, Support Vector Machine, XG boost.},
        month = {December},
        }