The Credit Card Clients Dataset is a comprehensive financial dataset that provides crucial insights into credit card usage patterns and client behavior. Featuring a diverse array of variables, including demographic information, credit limits, payment history, and bill amounts, this dataset facilitates in-depth analysis of credit card performance and risk assessment. With a focus on client credit behavior and repayment tendencies, it serves as a valuable resource for financial institutions, researchers, and data scientists seeking to enhance their understanding of consumer credit dynamics. The dataset's richness enables the development of predictive models to assess creditworthiness and optimize financial strategies for risk management.
Make sure you have the following prerequisites installed:
- Python (version >= 3.6)
- Jupyter Notebook (optional, for exploring and running the notebooks)
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Clone the repository:
git clone https://github.com/DeveloperRedoy/ML-Credit-Card-Clients.git
| Apply Algorithm List | Kaggle Link |
|---|---|
| Linear Regression | https://www.kaggle.com/code/mdredoysarder/credit-card-clients/edit |
| Logistic Regression | |
| Decision Tree | |
| Random Forest | |
| AdaBoost (Adaptive Boosting) | |
| Gradient Boosting Machines (GBM) | |
| Support Vector Machines(SVM) | |
| K-Nearest Neighbors (KNN) | |
| Naive Bayes | |
| Principal Component Analysis (PCA) |
🏆 Machine learning project🏆
You can use this service for free. I'm looking for sponsors to help us keep up with this service❤️
| Social accounts | Link |
|---|---|
| https://twitter.com/FreelancerRedoy | |
| https://www.linkedin.com/in/redoytime/ | |
| https://www.facebook.com/redoy.sarder.714 | |
| Kaggle | https://www.kaggle.com/mdredoysarder |
| Profile | https://www.hackerrank.com/profile/syber_redoy_php |
| Github | https://github.com/Redoy365 |