Credit Card Defaulters Prediction

https://www.linkedin.com/posts/soumit-kar-mba-6b69a8121_banking-ineuron-machinelearning-activity-6859610613241524225-x8pe

🔗Description:

• The repository represents "Credit Card Defaulters Prediction".
• With the help of this project, we can able to predict the probability of credit default based on credit card owner's characteristics and payment history.
• This Project is implemented using the Machine Learning Algorithm XGBoost.

Demo

Credit.Card.mp4

📖Dataset:

• Download the dataset for custom training.
• https://www.kaggle.com/uciml/default-of-credit-card-clients-dataset

🛠Requirements:

• cassandra-driver==3.25.0
• Flask==2.0.1
• Flask-Cors==3.0.10
• imblearn==0.0
• numpy==1.21.1
• pandas==1.3.1
• scikit-learn==0.24.2
• sklearn==0.0
• xgboost==1.4.2

⚙Setup:

• Install the packages mentioned in requirements.txt.
• Run the training.py file for training.

Please Go through this Document for more Info.

Contributors:

• Soumit Kar