brahmamyv commented 1 year ago

Project Request

Credit Card Fraud Detection by using SVM Classifier and balancing the dataset by Oversampling method.

Field	Description
About	Detecting credit card frauds using SVM
Github	Venkata Brahmam Y
Email	venyb25@gmail.com
Label	Python , Machine Learning ,Support Vector Machine

https://github.com/brahmamyv

Define You

[x] GSSOC Participant
[x] Contributor

Project Name

Credit Card Fraud Detection

Description

Support Vector Machines (SVM) is a popular machine learning algorithm used for credit card fraud detection. SVM is a supervised learning method that classifies data points into different categories based on their features. SVM detects the transaction is either Fraud or Legit transaction. And also data visualization is done to know more about dataset.

[Description of the project, its goals, and expected outcomes]

Scope

SMOTE(Over Sampling) technique is used ,as credit card dataset is highly unbalanced dataset. [The project's boundaries, including its objectives, deliverables, and constraints]

Timeline

I need 3 days to complete the project from the date assigned.

[The project's estimated start and end dates, milestones, and deadlines for deliverables]

Video Links or Support Links

[Links that can support the project in anyway]

holkarjuhi1712 commented 1 year ago

Can you assign this project to me I am a contributor of gssoc'23 and I have worked on machine learning project in college assignments

Sidhupaji-2004 commented 1 year ago

Can you assign me this project ? I have knowledge in SVM and am looking to make my contribution so as to improve the accuracy of the model. I'm a GSSOC 2023 contributor.