Apple Quality

This is a mini project that handled the Apple quality dataset and build a prediction model for predicting the apple quality

Telecome Customer Churn

Developed a machine learning model to predict customer churn for a telecom company using the Telco Customer Churn dataset. The project involved end-to-end data analysis, including data cleaning, exploratory data analysis (EDA), feature engineering, and model building.

Credit Card Fraud Detection

Credit card fraud is a growing concern in the digital economy,where millions of financial transactions occur every day.Fraud Transactions can cause financial losses.This project focuses on building a machine learning model that can accurately identify fraud credit card transaction.

Employee Performance and Productivity

Conducted an in-depth analysis of employee productivity and performance using a dataset of 100,000 records with 20+ features. The goal was to identify key factors affecting employee efficiency, job satisfaction, and retention.

Stroke Prediction

Developed a predictive model to identify individuals at risk of stroke based on health and demographic features using the Stroke Prediction dataset . The goal was to assist early medical intervention by accurately predicting stroke likelihood.