Smit Topiwala

Logo


• MS in Data Science graduate from University of Alabama at Birmingham.
• I am passionate about building impactful data products and learning the best coding practices for data science.
• Solid background in Python programming, statistics, and machine learning algorithms.
• Interested in Data Engineer/Data Science/Data Analytics/Business Research Analyst/Market research Analyst opportunities.

View My GitHub Profile

Detail Information about the Project

Project description:
Credit card fraud is when someone uses your credit card or credit account to make a purchase you didn’t authorize. Credit card fraud is a fraud committed using a payment card, such as a credit card as a fraudulent source of funds in a transaction. Mainly I have used two important algorithms to find the accuracy of the model: a.) local outlier factor to calculate anomaly scores b.) isolation algorithms.

1. Transaction class distribution


2. Exploring data visually


3. Correlation matrix


For more details see Credit-Card-Fraud-Detection.