Kaggle Notebook for model :

Machine Learning iPython Notebook to make predictions about survival in Titanic

Problem Statement: Financial institutions face significant challenges in detecting fraudulent activities due to the large volume of transactions and the sophistication of modern fraud techniques. The problem is to design AI models that can accurately detect fraudulent transactions in real-time while minimizing false positives.

A Notebook showing the use of joblib to save trained Machine Learning models

The chicken disease classification project aims to develop a system that can accurately identify and classify diseases in chickens based on their symptoms