I want a machine learning project in which you have to use a dataset from a trusted source ex - kaggle , etc and on that dataset the following operations like loading the dataset , preprocessing , visualisation outliers etc , fitting the data , training the model , testing the model , comparison and at last I want the little bit frontend also using Streamlit I have ref file as well Acceptance criteria: • Reproducible script/notebook that runs without errors • Accuracy, precision and recall printed after training • pickle or joblib file of the fitted model • Brief explanation of any hyperparameter tuning choices Let me know your estimated turnaround and we’re good to go.