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NYC Data Science Academy Presents: Kaggle-Winning XGBoost Algorithm Author, Tong He

Posted on Sep 19, 2015


Speaker Bio:
Tong He was a data scientist at Supstat Inc. He has been an active R programmer and developer for 5 years. He is the author of the R package XGBoost, currently one of the most popular and contest-winning tools on kaggle.com.

Pre-requisite:
R /Calculus

Preparation:
A laptop with R installed. Windows users might need to have RTools installed as well.

Agenda:
Introduction of Xgboost
Real World Application
Model Specification
Parameter Introduction
Advanced Features
Kaggle Winning Solution

Reference:
https://github.com/dmlc/xgboost

About Author

Vivian Zhang

Vivian Zhang is the CTO and School Director of the NYC Data Science Academy. She started the NYC Open Data meetup group. She earned her M.S. in Computer Science and Statistics and B.S. in Computer Science. She is...
View all posts by Vivian Zhang >

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