The aim of this project is to predict fraudulent credit card transactions using machine learning models.

The main objective of this project is predicting rainfall for each day of the year. For this project i used pyspark, and Machine Learning

Data Science - Neural Networks Work

This project explores customer subscription behavior in banking marketing campaigns using the UCI Bank Marketing dataset. It applies machine learning models to predict which customers are likely to subscribe to a term deposit and identifies key demographic, financial, and campaign-related factors that influence customer decisions.

Machine Learning For Fraud Detection (Pytorch MLP, LightGBM, Stacking Classifier)