This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.

Source code for predicting Blood Glucose Concentration

🔍 Predicting the future adjusted closing price of Gold ETF using machine learning! 📈✨

A causal convolutional neural network (CNN) model for predicting time series

Master's thesis work aims to develop a tool for the analysis and prediction of data from the MIMIC-III database, using sepsis as a case study. Two specific prediction tasks have been selected: sepsis mortality and mortality within 30 days of sepsis diagnosis.

Production-grade ensemble framework combining XGBoost, PyTorch & Sklearn - 70%+ test coverage with Optuna optimization for time-series prediction

This repo focuses on latency-aware resource optimization for Kubernetes

Income prediction model based on U.S. Census dataset

A user-friendly web application for performing data analysis with machine learning techniques, built with Streamlit

This project aims to develop an AI-powered system for scheduling patient appointments based on medical history, symptoms, and doctor availability. It includes synthetic dataset generation, exploratory data analysis (EDA), and a machine learning model to predict consultation chains, optimizing healthcare workflow for efficient patient care.

Predicting Housing Market Conditions using PySpark and Machine Learning

Optimizing bets on political elections

This project was built not just for a grade, but with the hope that it could help raise awareness about diabetes risk and inspire others to learn, share, and build technology that cares.