Credit Card Fraud Detection

In this Machine Learning project, we will predict the credit card fraud in the transactional dataset using some of the predictive models. In this data science project, we will predict credit card fraud in the transactional dataset using some of the predictive models.

Created by

Project Bank

00:55:07 Hours

8 Enrolled

    • (0 Reviews)

English

Last updated

Fri, 28-Apr-2023

Course description

It is important that credit card companies are able to identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. The machine learning algorithms such as logistic regression, random forest,  are used, within a cross-validation framework to detect the fraud.

What will i learn?

  • Understanding the problem
  • Importing required libraries
  • Performing basic EDA
  • Scaling different variables
  • Pipelining with sklearn
  • Comparison of results and Model Selection
  • Visualization with seaborn and matplotlib

Requirements

  • Basic Programming Language
  • Basic knolwedge of Python is required to compile and run the examples

Project Bank

View profile

Rp 1299

Rp 4999

Lectures

6

Skill level

Intermediate

Expiry period

Lifetime

Certificate

Yes
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