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Scraping Rotten Tomatoes to Increase Movie Profits
INTRO Rotten Tomatoes has become one of the most influential sites for consumers when deciding which movie they...
Marissa Joy
Posted on February 21, 2018
Alumni Spotlight: William Zhou, Informatics Specialist at Memorial Sloan Kettering Cancer Center
William Zhou is currently working as an Informatics Specialist at Memorial Sloan Kettering Cancer Center. While working as...
Posted on February 14, 2018
From Visualizing NYC 2017 House Sales Data To Postulating Its Thermodynamics Theory
This project aims to (1) visualize the patterns of NYC 2017 house sales in each of the five...
Posted on February 6, 2018
CTR Prediction in RTB Display Advertising
Authors: Quentin Picard, Yongguang Qin, Chung Meng Lim, Daniel Park Introduction For our Capstone Project at NYC Data...
Team Machine Learning Project
A quick introduction Kaggle is a sort of data science candyland in which one can pick and choose...
Big Data Analytics: from Impressions to Clicks
Post Content: About the Project Data Exploration Steps Data Exploration: Duplication in Clicks Dataset Merging Impressions & Clicks...
Predicting Iowa House Prices using Supervised Machine Learning Algorithms
Authors: Daniel Park, Dimitri Liakhovitski, Gwen Fernandez, & Henry Crosby NYC Data Science Bootcamp, November 2017 Project Background...
Predicting Success on Stack Overflow
Can machine learning models outcompete humans in outcomes prediction on the popular tech Q&A site? Introduction As the...
Posted on October 31, 2017
Web scraping project
This project was an exercise in scraping information from the web, cleaning it and gathering insights from it...
Theo Kwanga
Posted on October 30, 2017
Analyzing and Predicting European Soccer Match Outcomes
Introduction Soccer, in my opinion,  is not only  the most popular but  the  best sport in the world....
Efezino Erome-Utunedi
Posted on October 18, 2017
Zillow Zestimate Competition - Team Alpha
Introduction For most people, buying a home is the single largest investment they will make during their life....
Yiming Wu
Stefan Hainzer
Summer Sun
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Posted on September 18, 2017
The Zillow Zestimate Kaggle Competition
1. INTRODUCTION Zillow is an online real estate database with data on homes across the United States. One...
Yu-Han Chen
Julia Goldstein
Andre Toujas
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Posted on September 15, 2017
Allstate Claims Severity - Predictive Analytics
Introduction Allstate claims severity was a Kaggle competition that was open in 2016. The objective of this competition...
Posted on August 30, 2017
BEAT THE BOOKS | An Exploratory Data Analysis into NFL Statistics
INTRODUCTION The mission: making more informed, “better” decisions when placing wagers on NFL football games. In order to...
Andre Toujas
Posted on August 29, 2017
Predicting Housing Tax with Machine Learning Models
Californians who buy a house often experience sticker shock when they get their property tax bill. The reason...
Credit Card Fraud Detection
Introduction One of the major pain points for the credit card industry has been to accurately find potential...
Smitha Mathew
Posted on August 4, 2017
Predictive Analytics - Allstate Claims Severity
Introduction The Allstate claims severity challenge was a Kaggle competition that was open in 2016. The task at...
Smitha Mathew
Posted on July 27, 2017
Predicting housing prices in Russia
Predicting housing prices in Russia Sberbank, Russia's largest bank, published housing data on Kaggle in early 2017. The...