Online payment frauds can happen with anyone using any payment system, especially while making payments using a credit card. That is why detecting online payment fraud is very important for credit card companies to ensure that the customers are not getting charged for the products and services they never paid.
To identify online payment fraud with machine learning, we need to train a machine learning model for classifying fraudulent and non-fraudulent payments. For this, we need a dataset containing information about online payment fraud, so that we can understand what type of transactions lead to fraud. For this task, I collected a dataset from Kaggle, which contains historical information about fraudulent transactions which can be used to detect fraud in online payments.
- numpy
- pandas
- time
- sklearn
Hi everyone! My name is Osi and I'm 20 years old. I'm a beginner programmer and I'm excited to share my journey with all of you. I'm looking forward to learning and growing my programming skills, and I'm sure that this community will be a great help to me. I'm sure I'm going to have a lot of fun along the way!