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A product recommendation engine using ML models on real Reddit reviews.

Project for "Int20h" Hackathon (Kyiv, Ukraine 2018). First place in "Data Science" branch.

No description provided.

Explore various recommendation systems for music artist recommendation based on the Last.fm dataset.

A Python application that recommends the best neighborhood in Vancouver based on several factors would use data on the city's neighborhoods, such as crime rates, average housing prices, proximity to amenities like parks and restaurants, and public transportation options.

A situational music recomendations platform for electronic music with suggestions based on users' timezone or chosen day and time. Features include listening rooms, which allow users to stay "in sync" with each other without a streaming host.

Flatiron Data Science - Mod1 Project