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Import all dependencies for the project
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Collect the data file analyse it + Seprate the data and labels into X & Y variables respectively
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Standardize the data to have a common range between them
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Split the data between training and test data
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Training the model using scalar vector machine (SVM) model
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Model evaluation predict outcome for both train and test data
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Develop a predictive system
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Support vector machine (SVM) model used
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Data set collected from https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database