Open brahmamyv opened 1 year ago
@brahmamyv - you can go ahead! We are assigning you 21 days for this project, after which it will be assigned to someone else if not completed. All the best!
Name the file as: algorithm_dataset.ipynb
and link it in the readme of the labeled directory as algorithm - dataset
.
💥 Proposal
(A clear and concise description of what the proposal is.) Logistic_Regression_Credit Card Fraud Detection accuracy score can be increased by SMOTE technique. Credit card fraud dataset is an unbalanced dataset. SMOTE(Over Sampling) technique is used to get good accuracy score by balancing the dataset ,and also comparison of various algorithms are done on credit card dataset like Logistic regression , Naive Bayes ,KNN ,Decison Tree ,Random Forest and XGBoost Algorithms.
dataset: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud