Akhileshwar, Chennu creator Sumanta, Guha Chairperson Phan, Minh Dung Examination Committee Bohez, Erik L.J. Examination Committee AIT Fellowship Scholarship donor text series technical report th Pathum Thani, Thailand Asian Institute of Technology 2017 continuing eng 40 leaves : ill. Finding whether the two questions are asking the same thing can be challenging, as word choice and sentence structure may vary signi{uFB01}cantly. Some of the natural language processing techniques have been found to have the limited success in separating related question from duplicate ones. Quora is a very good source which helps the users to exchange their knowledge and they also face this problem of duplicate questions. Since Quora gives importance to similar questions problem, it want to provide a good experience for both the question seeker and writer. Using a data set question pairs provided by Quora in Kaggle, we extract the features from the data set by using some methods like common word share, Jaccard Similarity Coefcient, Cosine Similarity, Tf-Idf. After extracting the features from the data we use some machine learning algorithms to build a model using training data. By using this model we get the {uFB01}nal values of the test data set. A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management, School of Engineering and Technology Research studies project report (M. Eng.) - Asian Institute of Technology, 2017 Machine learning Technique Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B06933 http://203.159.5.9/ait-thesis/detail.php?q=B06933 200707 20260818134219.0