Data exploration and sentiment analysis using Python, Natural Language Toolkit (NLTK) and different Scikit-learn machine learning libraries, comparing their results and their ability to predict the sentiment analysis of reviews from the Drugs.com database.

The accuracy and time performance of an AdaBoost SAMME algorithm using both stumps and SVM as the base classifier for the algorithm were compared using the Human Activity Dataset. The best performing algorithm was using stumps as the base classifier. This algorithm was then compared to other classifiers, mainly KNN, SVM and random forest.

Predicting the probability of a player from the Lahman database to be nominated to the Hall of Fame, using a Naive Bayes classifier implemented in SQL using a GUI designed in Python. The Python portion is only for visualizing the data, the datamining is done using SQL directly for efficiency and speed.

MRI and PET image fusion using Discrete Wavelet, Multiwavelet and Dual-Tree Wavelet Transforms as well as Paticle Swarm Optimization (PSO) for finding the best weights for the fusion of the images.

Design of an angle-measuring device for the prevention of ventilator-associated pneumonia (VAP) on bedbound, intubated patients.

Construction of a system for indicating the minimum amount of cameras necessary to cover all the intersections of a road system input by a user, using a vertex cover algorithm.

Comparison of three vertex cover methods using both a SatSolver and approximation algorithms.

Android Application for keeping track of medication intake. The app used a calendar and a time dialog for selecting the appropriate time and date for the medication intake. The app then reminded the user of taking the medication at the specified time. the app also had a Firebase database for storing medication interactions and alerted the user if there was any side effect due to a drug interaction.

Tribute page of Stephen Hawking, done as an exercise to learn the basics of HTML and CSS.