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@article{154169,
        author = {E. Hari Haran and S.Ramesh and A.S. Omkumar  and S.R.Arun Kumar  and V. Saravanan and M.S. Sassirekha and Anbarasan Balakrishnan},
        title = {Campus Placement Data Analysis Using Classification Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {32-34},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154169},
        abstract = {The   dataset   revolves   around   the   placement season  of  a  Business  School  in  India.  Where  it  has various factors on candidates getting hired such as work experience,exam percentage etc. Finally it contains the status of  recruitment  and  remuneration  details.  A  Set  of Classification analysis is performed to predict whether the student is placed or not.},
        keywords = {Classification,  Numpy,  Pandas,  Sklearn, Seaborn, Logistic Regression, Decision Tree, Random Forest, K - Nearest Neighbours, Support Vector Machine, XGBoost, AdaBoost, Outliers, Label Encoding and One Hot Encoding},
        month = {},
        }