Analysis & Prediction of American Graduate Admissions Process
نویسنده
چکیده
This project tries to understand American Graduate Admissions process by specifically analyzing MS Computer Science application over past 5 years. Edulix has been used as data source. After extensive data cleaning, I have tried to model admissions data based on patterns extracted from data and domain knowledge. The key to analyzing Graduate Admissions data is to analyze data in buckets rather than considering all in one bucket. The project aims to help students choose the right Universities by predicting whether a student will be admitted to a specific University. Similarly, this model can be used by Graduate Admission Committee to filter very low scoring or very high scoring applicants.
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