Credit_Card_Fraud_Detection

Idea is to recognize fraudulent credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase.

Libraries Used

1. Numpy
2. Pandas
3. Sklearn
4. Matplotlib
5. Seaborn

Working

1. The model used must be simple and fast enough to detect the anomaly and classify it as a fraudulent transaction as quickly as possible.
2. Imbalance can be dealt with by properly using some methods which we will talk about in the next paragraph
3. For protecting the privacy of the user the dimensionality of the data can be reduced.
4. A more trustworthy source must be taken which double-check the data, at least for training the model.
5. We can make the model simple and interpretable so that when the scammer adapts to it with just some tweaks we can have a new model up and running to deploy.
   
   Ref from GEEKSFORGEEKS

DataSet from Kaggle

LINK

NoteBook

HERE

Connect With Me

LinkedIn : https://www.linkedin.com/in/akshatjaingeu/
Email : akshat.kodia@gmail.com
Twitter : www.twitter.com/akki_aj89

Personal

Name : Akshat Jain
University : Graphic Era University, Dehradun(UK)

If any problem with this program reach me at Telegram
Here is the link -> https://t.me/akki_aj89

Gratitude

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