An End-to-End Data Science Project on Diabetes

I used Jupyter Notebook as the Integrated Development Environment (IDE). The libraries required are; numpy, pandas, matplotlib, pickle or joblib and scikit-learn. These are pre-installed in the latest version of Anaconda. If you don't have any of these libraries you can pip install them or update conda. The dataset used for this model is the Pima Indians Diabetes dataset which consists of several medical predictor variables and one target variable, Outcome.