Parallelizing Expectation Maximization (EM)
Machine Learning
Statistics

In this report, we explore the Expectation-Maximization (EM) algorithm for Gaussian Mixture Models (GMMs) and its implementation in Python using various libraries. We start…

Ilia Azizi
Jun 24, 2023

Information extraction on real estate descriptions
NLP
Machine Learning

A demonstration of Information Extraction (IE) applied to online real estate listings to retrieve missing feature values from textual descriptions.

Ilia Azizi
Jun 6, 2022

Text mining techniques applied to employer reviews from Glassdoor.com to predict number of stars given to the employers.

Text Mining with Glassdoor
Data Science
NLP

Text mining techniques applied to employer reviews from Glassdoor.com with the aim of predicting the star ratings awarded to various employers.

Ilia Azizi, Justin Denis-Lessard, Romain Donati, Rina Neziri
Dec 14, 2020

FaceRunner
Python Program
Deep Learning

FaceRunner is a program written in Python for face detection and mask overlays possible through existing images or streaming live through a webcam.

Ilia Azizi, Emile Evers
Nov 27, 2020

The effect of speed limits and the weather conditions on road accidents in New York City.

Accidents in NYC
Data Science
Machine Learning

A project where the effect of speed limits and the weather conditions on road accidents in New York City was studied extensively.

Ilia Azizi, Maura Rollini
Jul 27, 2020

Taxi cabs in downtown Chicago

Taxi Trips in Chicago
Business Intelligence
Machine Learning

Determining whether the weather (i.e. rain and snow) influences the length of the taxi trips in the city of Chicago.

Ilia Azizi, Vincent Nicod
Jun 12, 2020

COVID-19 identification from X-rays

COVID-19 identification from X-rays
Deep Learning

Using deep learning, and neural networks, to identify COVID-19 and viral pneumonia from the x-ray scans of patients.

Ilia Azizi, Alexandre Schroeter
May 28, 2020

Modelling COVID-19 using a SIR model (Suscepitble, Infectious, Recovered/Removed) commonly implemented for epidemiological studies.

Modelling COVID-19
Data Science

Modelling COVID-19 using a SIR model (Suscepitble, Infectious, Recovered/Removed) commonly implemented for epidemiological studies.

Ilia Azizi, Maura Rollini
Apr 27, 2020
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