Graph Alignment-Based Protein Comparison

Inspired by the question of identifying mechanisms of viral infection, we are interested in the problem of comparing pairs of proteins, given by amino acid sequences and traces of their 3-dimensional structure.

Basic Machine Learning and Classification

Flower Classification

Using Machine Learning to Combat Fake News

Art Genre Classification with Machine Learning

Identifying Melanoma With Deep Learning

Analyzing Trending Youtube Videos with Machine Learning

Predicting Medical Expenses with Machine Learning

Using AI to Predict Vulnerabilities by Age

Predicting Deaths from Overdose using Neural Networks

Stack Overflow Tags with Machine Learning

Neural Network on SHVN Dataset Paper

The problem I aimed to solve with deep learning will use this dataset to solve is training a model to successfully classify skin cancers, which is important for diagnosis.

Machine Learning Fires

This project attempts to analyze game data from Hearthstone, an online card game developed by Blizzard.

Study of the Impact an asteroid collision with earth can have and identified hazardous asteroids based on criteria provided by NASA.

Alvin Studied the impact an asteroid collision with earth can have and identified hazardous asteroids based on criteria provided by NASA. He got very promising results and understood the subject in depth:

Machine‌ ‌Learning‌ ‌Suicide‌ ‌Prediction‌

The best project by far was Jonathan's: He studied a rather taboo subject such as suicide rates and tried to pin-point factors that influence it within a country and how it relates to economic index of a country. He produced high

Canon vs Fanon? — Distinguishing Fanfiction from Canonical Writing Using a Neural Network

Predicting Air Pollution Levels from Satellite Images Using Deep Convolutional Neural Network

Novel method for improving deep-learning accuracy of diagnosing breast cancer using different image augmentations

Determining the impact of information loss across different image augmentations towards the performance of various convolutional neural networks on classifying mammograms