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The given data set is related to Indian patients who have been tested for a liver disease. Based on chemical compounds (bilrubin,albumin,protiens,alkaline phosphatase) present in human body and tests like SGOT, SGPT the outcome mentioned is whether person is a patient i.e, whether he needs to be diagnosed further or not. Perform data cleansing, and required transformations and build a predictive model which will be able to predict most of the cases accurately. Following are the feature names for the given data: Age,Gender,Total_Bilirubin,Direct_Bilirubin,Alkaline_Phosphotase, Alamine_Aminotransferase,Aspartate_Aminotransferase,Total_Protiens,Albumin, Albumin_and_Globulin_Ratio,Class.

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cross-validation data-science decision-tree kernal machine-learning python3 random-forest svm-classifier

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