predictive-modeling

Traffic Congestion Prediction System using Data Mining

An IoT-based web application to book a parking spot in smart parking stations with the help of RFID tags and Raspberry Pi clusters and perform predictive analysis for car traffic using a time series algorithm

Forecasting Local Box Office Revenue using epsilon-Support Vector Regression

An intelligent system to predict probability of heart diseases by using classification algorithms. View README for details.

Prediction of purchase of Bank Product using Map Reduce Naive Bayes

FSK Lab

CardioPulse ❤️🩺 is an Android app using machine learning to predict cardiovascular (heart) diseases. Created as a final year project by University of Sialkot students, it combines predictive modeling with Firebase cloud storage. The app offers personalized health assessments and intuitive tracking for early detection and better health outcomes.

Final project for CS-435 Big Data. Predicting NYC taxi tips using RandomForest. Created by Evan Tone, Graham Crosbie, Mason Walker, & Matthew Warburton.

This is a project I created for my OOP course during semester 2 which uses Naïve Bayes to identify the likelihood of someone being an entrepreneur

A CRISP-DM–based big data pipeline for predicting NYC ride-sharing trip fares: ingesting 2024 TLC data via Sqoop into HDFS/Hive, performing ETL and feature engineering with Spark & PySpark, training and tuning Linear Regression & Gradient Boosted Tree models, and outlining end-to-end deployment.

Virtual Tourist Guide - an Android Application

Java-based data mining project leveraging Weka and SPMF to implement association rule mining, predictive modeling, and text classification.

Intelligent IoT network simulation built on AnyLogic — features M2CGen-transpiled scikit-learn models for microsecond inference, a Q-Learning load balancer, FedAvg federated learning, DDoS anomaly detection, and a React/Vite Digital Twin dashboard.

Prediction modelling for a pet health insurance company called Trupanion. Originally written for a job application as a data scientist at Trupanion, now being modified to play around with clustering algorithms.

Application Android Data Mining (Algorithm Bayes)

A mini project on using Venom and CSV Processing Language to predict the approximate salary range based on one's skills, job industry, location of the company or job type from Web Data Extraction & Regression Analysis using Java course conducted by SMU

AI-driven disease prediction platform using data preprocessing (k-NN imputation), adaptive feature selection (simulated annealing), and predictive modeling. Includes breast cancer and heart disease case studies with MySQL-backed datasets.