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An analysis of the Montreal Crime Data set. Contains some data visualization and a trained ML classifier.
Analyze the sepsis rate with different features (gender, race, common other diseases).
Using Python along libraries such as pandas, matplotlib and scikit, we analyze Montreal crime data in order predict the relative likelihood of each crime type to occur in a given area.
Fighting crime rates in Montreal by promoting a sense of community.
We analyzed Montreal crime data and created interactive visualizations to deliver data-driven insights for policy makers.
Web app for Spotify song recommendations based on facial emotions detection.
Exploring Montreal Crime Dataset and running machine learning models on it
This project analyzes the large MIMIC-III Dataset and showcases the trends and patterns that exist concerning an individual's likelihood to encounter sepsis.
