Credit card fraud analysis using Data science

Offered byGreat Learning

Credit card fraud analysis using Data science
at
Great Learning
Overview

Duration	1 hour
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Credit card fraud analysis using Data science
at
Great Learning
Highlights

Earn a certificate of completion from Great Learning

Credit card fraud analysis using Data science
at
Great Learning
Course details

More about this course

In this session, you will be working on an end-to-end case study to understand the different stages of Model building using the Machine Learning concept
This will deal with 'data manipulation' with pandas, Numpy and 'data visualization' with Matplotlib and Seaborn libraries with the credit card dataset
After Data manipulation and Data visualization, Exploratory data analysis will be performed and then an ML model will be built on the credit card dataset to create a model/system which can predict the transaction is fraud or not according to the different attributes
You will also learn about the basics of the sci-kit-learn library to implement the machine learning algorithm

Credit card fraud analysis using Data science
at
Great Learning
Curriculum

Syllabus

Array

Credit card fraud analysis using Data science
at
Great Learning
Faculty details

Ms. Sampriti Chatterjee

Designation : Instructor Description : Sampriti has been working in the field of data science and has expertise in languages such as Python, SQL, and Java. She also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow 2.0. She is been in the technical content side for the last few years.