I need an actual Python code, not just result. It would be best to use Jupyter Notebook, thank you !

https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud The site also provides a detailed description of the dataset. Note that this is an imbalanced dataset, so it will give you an opportunity to try out things we talked about in class. You should try to reduce the false negatives without compromising too much on the F1-scores. Try the following algorithms (and be sure to account for imbalance using the alternatives discussed in class): Logistic Regression, RandomForest, XGBoost. Create a dataframe that shows the Balanced Accuracy, F1-Score, Precision, and Recall for each of these algorithms