[EXE] Credit Card Fraud Detection and Classification using Logistic Regression
Kesavan-Raman opened this issue · comments
####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.
Hey @Kesavan-Raman I can implement this, if possible, assign this issue to me.
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.