Fraud Analytics in Banking and Credit using Machine Learning faq

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2.4
learnersLearners: 6,779
instructor Instructor: Exam Turf instructor-icon
duration Duration: duration-icon

This course provides a comprehensive overview of fraud analytics in banking and credit using machine learning. It covers topics such as fraud detection, risk analysis, rank functions, RHS constraints, VRS, CRS efficiency, loan status grades, beta value, predict value, performance values, and logistic regression algorithms. Through case studies and hands-on projects, you will gain a deep understanding of the robust internal controls and risk management systems in organizations. With this course, you will be able to detect frauds and develop effective fraud detection solutions through data science.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2021-08-24

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 25th, 2023]

This course provides an overview of fraud analytics in banking and credit using machine learning. It covers the process of analyzing illegitimate transactions and developing effective fraud detection solutions through data science. Students and professionals will gain an understanding of the robust internal controls and risk management systems in organizations. The course will guide participants through the process of understanding the concept of fraud detection in credit payments using a case study. Algorithms such as Kmeans and hierarchical clustering will be used to understand the data, as well as other visualization techniques and methods to compare and understand the flow of data. Additionally, logistic regression algorithms will be implemented in a project. Topics such as loan status grades, beta value, predict value, performance values, cust ranking, risk analysis, rank functions, RHS constraints, VRS, and CRS efficiency will be discussed.

Course Syllabus

Banking and Credit Fraud Analytics with ML

Fraud Detection in Credit Payments with ML

Course Provider

Provider Udemy's Stats at AZClass

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faq FAQ for Fraud Analytics Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 6779 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
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Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Fraud Analytics courses and certifications, our extensive collection at azclass.net will help you.

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