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@article{154172,
        author = {G.Aswathi and T.k.Ramalakshmi and P.Monica and V.Aarthi  and S.Jamuna},
        title = {Analyzing the diabetes dataset using classification algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {49-50},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154172},
        abstract = {Diabetes is one of the deadliest disease in the world. It is  not    only  a  disease  but  also  creator  of  different  kinds  of diseases  like    heart attack, blindness etc. The objective of this analysis  is  to    identify  whether  or  not a patient has diabetes, based on certain    diagnostic measurements included in the dataset. The datasets   consist of several medical predictor variables and one target  variable, Outcome. Predictor variables include  the  number  of   pregnancies the patient has had, their BMI, insulin level, age, and so on.},
        keywords = {Classification,  Numpy,  Pandas, Sklearn Seaborn
},
        month = {},
        }