Posts with tag: gbm

Machine Learning Kaggle Competition-Mission Zillow
[All authors contributed equally to this blog] 1 Overview In the year 1959, Arthur Samuel, a pioneer in...
U.S. Residential Energy Use: Machine Learning on the RECS Dataset
Contributed by Thomas Kassel. He is currently enrolled in the NYC Data Science Academy remote bootcamp program taking...
Predicting Interest for NYC Apartment Rental Listings - A Guideline For Landlords and Agents
The objective of the following research is to predict the number of inquiries a new listing receives in...
Higgs Boson Kaggle Case Studies
Contributed by by Ruonan Ding, Frank Wang and Joseph Wang. They are currently in the NYC Data Science Academy 12 week full...
Higgs Boson Machine Learning Challenge
Contributed by by Belinda Kanpetch, Taraqur Rahman, Steven Ginzberg and Michael Winfield.  They are currently in the NYC Data Science Academy 12 week...
A Data Scientist's Guide to Predicting Housing Prices in Russia
Sberbank Russian Housing Market A Kaggle Competition on Predicting Realty Price in Russia Written by Haseeb Durrani, Chen...
Predicting Profit Warnings: NLP applied to Conference Call Transcripts Analysis
The objective of the following research is to introduce the reader into NLP (Natural Language Processing) and how...
Property Casualty Loss Cost Data Type Case Study
Contributed by Ruonan Ding, Frank Wang. They are currently in the NYC Data Science Academy 12 week full time Data Science...
Higgs Boson Kaggle Machine Learning Competition
Contributed by Wanda Wang, Rob Castellano, Yannick Kimmel, and Ho Fai Wong. They are currently in the NYC...
Forecasting the Higgs Boson Signal
Contributed by Denis Nguyen, Kelly Mejia Breton and Ismael Jaime Cruz. They are currently in the NYC Data Science...

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