Heart Disease Risk Prediction using Gradient Descent

This project utilizes gradient descent to predict the risk of heart disease based on factors like tobacco usage. It begins with data exploration, including visualization of distributions and correlations, followed by implementing gradient descent to optimize parameters for linear regression.

Survey Analysis & Classification on Substance Use

This project analyzes student substance use, revealing patterns, prevalence rates, and perceptions regarding drugs and alcohol. Through data visualization and statistical modeling, it uncovers behaviors like frequency of use and perceived harm, providing insights into substance use among students.

Resume Screening Platform

Developed a web application for efficient resume screening. Users can upload resumes, extract text, and analyze content to generate insights like word clouds and category statistics. It includes a search feature to find resumes with specific keywords.

Credit Card Fraud Detection

A machine learning project designed to identify fraudulent transactions in credit card data. By analyzing historical transaction patterns, machine learning models can differentiate between legitimate and fraudulent activities, providing enhanced security for financial transactions.