Credit-Card-Fraud Detection Using Machine Learning
- Detected fraud and normal transactions using Artificial Neural Networks and Extra Tree Classifiers.
- Applied SMOTE to balance the imbalanced dataset.
- Sharpened my machine learning skills through this project.
- Learned how to effectively resample data using SMOTE.
- Improved data cleaning techniques.
- Gained hands-on experience in Exploratory Data Analysis (EDA).
15 May 2024
Keywords
Machine Learning
SMOTE
Data Cleaning
Pandas
Dataframe
GIT
