Brian Srebrenik's repositories

Final_Project

Using Twitter Ego Network Analysis to Detect Sources of Fake News

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music_recommendation_blog

Content Based Filtering for Music Recommendation Systems

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cbir

Content Based Image Retrieval

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classifying_wikipedia_comments

toxic comment classification on Wikipedia

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Mod-3-Project

Use of health statistics and natural language processing to predict "food deserts". The USDA defines food deserts "as parts of the country vapid of fresh fruit, vegetables, and other healthful whole foods, usually found in impoverished areas. This is largely due to a lack of grocery stores, farmers’ markets, and healthy food providers".

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Mod-4-Project

A Music Recommendation Model Using a Hybrid Approach

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Mod-1-Project

Built SQL Database and Dash App to determine the affordability and genre variety of the live music scene in NYC.

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Project2

Using web-scraping, Pandas, Feature Engineering, Machine Learning and a variety of Linear Models to predict Suicide Rates by Country.

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santander_customer_prediction

https://www.kaggle.com/c/santander-customer-transaction-prediction

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snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

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