fraud-package 0.5

Fraud detection Feature Engineering Pipeline

# fraud-package

` A simple feature engineering pipeline `

Built by [Srikanth Maganti]

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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