[EXE] Credit Card Fraud Detection and Classification using Logistic Regression

[Kesavan-Raman]

####Learning Goals
Binary Classification, Logistic regression and Data Preprocessing

###Exercise Statement
Credit card fraud classification using Logistic Regression

###Prerequisites
Basic understanding of Logistic regression algorithm, Python and Pandas basics.

###Data source/summary:
Dataset if obtained from Kaggle.
Link of dataset: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud

###(Optional) Suggest/Propose Solutions
I have the solution ready implemented with Multinomial Logistic regression, will be happy to create pull request to include the exercise solution.

[darpan-2001]

Hey @Kesavan-Raman I can implement this, if possible, assign this issue to me.

[Sk47R]

Hey @Kesavan-Raman , I would be grateful if u address me this problem. I will try and solve it with numpy and maths with deeplearning model for binary classification problem.

[MJakash]

Hey @Kesavan-Raman, I am data science and machine learning enthusiast. I can implement this issue as i have worked on this type of issue. I would be grateful if you could assign me this issue.