Today’s challenge involved detecting fraudulent transactions using two machine learning algorithms: Logistic Regression and Random Forest. Fraud detection is critical in the financial world, where minimizing losses from fraudulent transactions is a top priority. This problem posed a unique challenge due to the highly imbalanced dataset, where only a small percentage of transactions are actually fraudulent.


Git Repo: https://github.com/saxenaakansha30/30...
Blog: https://akanshasaxena.com/post/30-day...