semvec/pypi-packages huggingface dataset:
fraud-package 0.5
Fraud detection Feature Engineering Pipeline

# fraud-package

```
A simple feature engineering pipeline
```

Built by [Srikanth Maganti]

---

Project Specific: https://github.com/srikanthmaganti/Fraud-Detection-Machine-Learning/blob/master/Fraud_Detection_FeatureEngineering_pipeline.ipynb

# Dataset used:
```
Take a look at GitHub link
```

# Features Before:

- user_id
- signup_time
- purchase_time
- purchase_value
- device_id
- source
- browser
- sex
- age
- ip_address
- class
- country


# After Feature Engineering:

- ratio_fraud_device_id
- num_trans_device_id	
- ratio_fraud_country
- num_trans_country
- ratio_fraud_sex
- num_trans_sex
- ratio_fraud_age
- num_trans_age	
- ratio_fraud_browser
- num_trans_browser
- ratio_fraud_source
- num_trans_source

# Installation

- You can install this package using

```bash
pip install fraud-package
```

# Main intention of this Package

Want to implement a feature engineering pipeline because in industry we see few features need to be derived from the existing format of data for better model building. So, to get hands-on working on similar projects. I built this package